<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0016-7169</journal-id>
<journal-title><![CDATA[Geofísica internacional]]></journal-title>
<abbrev-journal-title><![CDATA[Geofís. Intl]]></abbrev-journal-title>
<issn>0016-7169</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Geofísica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0016-71692025000301657</article-id>
<article-id pub-id-type="doi">10.22201/igeof.2954436xe.2025.64.3.1803</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Petrophysical evaluation of clastic formations in boreholes with incomplete well log dataset by using joint inversion technique and machine learning algorithms]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santana-Román]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aquino-López]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Romero-Salcedo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Valle-García]]></surname>
<given-names><![CDATA[R. Del]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Campos-Enríquez]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Mexicano del Petróleo  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Mexicano del Petróleo  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Ciudad de México  ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Geofísica ]]></institution>
<addr-line><![CDATA[Ciudad de México ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2025</year>
</pub-date>
<volume>64</volume>
<numero>3</numero>
<fpage>1657</fpage>
<lpage>1675</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0016-71692025000301657&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0016-71692025000301657&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0016-71692025000301657&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract A succesful petrophysical evaluation of shaly-sand formations requieres: 1) the availability of high quality well log data and, 2) a petrophysical model that successfully represents the geological conditions of the rocks. Unfortunately, it is not always possible to fulfill these conditions, and in many cases the set of well logs is incomplete. To determine petrophysical parameters (i.e., volumes of laminar, structural and disperse shale) in clastic rocks from incomplete well log data we followed three approaches which are based on a hierarchical model, and on a joint inversion technique: 1) Available well log data (excluding the incomplete well log) are used to train machine learning algorithms to generate a predictive model; 2) the first step of the second approach machine learning algorithms are used to generate the missing data which are subsequently included a joint inversion; 3) in the third approach, machine learning process is used to estimate the missing data which are subsequently included in the prediction of the petrophysical properties. The supervised learning paradigm we used was in a joint based on different regression models (linear, decision trees, and kernel). A performance analysis of the three approaches is conducted with synthetic data (representing real conditions of clastic formations from an oil field in southern Mexico). We simulated gamma ray, deep resistivity, P-wave travel time, bulk density and neutron porosity logs by means of a hierarchical petrophysical model for clastic rock to accomplish a controlled analysis. The three different approaches were applied without P-wave travel time data to analyze the impact of the missing information. In general, the results indicate an adequate petrophysical parameter determination in each of the approaches. Metric evaluations indicate that the best performance was obtained by the second approach followed by approaches one and three. The correct estimation of the volumes of shale distribution could not be correctly resolved by any of the three applied methods but the total shale content could accurately be predicted which suggests that there is a non-uniqueness problem.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La incertidumbre en la evaluación petrofísica de las formaciones areno-arcillosas depende de la calidad de los datos de registros geofísicos de pozo disponibles y del modelo petrofísico que represente adecuadamente las condiciones geológicas de la roca, pero desafortunadamente, no siempre se cumplen con estas condiciones. Para determinar los parámetros petrofísicos (volumenes de arcilla laminar, estructural y dispersa) en rocas clásticas en casos de falta de información de registros de pozo, hemos desarrollado tres enfoques basados en un modelo jerárquico de la roca y en la técnica de inversión conjunta: 1) Registros geofísicos de pozo disponibles (excluyendo los registros de pozo incompletos) son usados para entrenar los algoritmos de aprendizaje automático para generar un modelo predicitivo; 2) un segundo enfoque comprende un primer paso en el que se utilizan algoritmos de aprendizaje automático para generar datos de registros geofísicos faltantes y posteriormente, la técnica de inversión conjunta es aplicada; 3) en el tercer enfoque, el proceso de aprendizaje automático se usa para estimar los datos faltantes, los cuales son posteriormente usados para predecir las propiedades petrofísicas. En este trabajo usamos el paradigma de aprendizaje supervisado en diferentes modelos de regresión: lineal, árboles de decisión y kernel. Se presenta un caso de estudio con datos sintéticos (que representa condiciones reales en formaciones clásticas en un campo petrolero en el sur de México) para comparar los tres enfoques descritos. Modelamos los registros de rayos gamma, resistividad profunda, tiempo de tránsito de la onda P, densidad y porosidad de neutrones usando un modelo petrofísico jerárquico para rocas clásticas para realizar un análisis controlado. Los tres diferentes enfoques fueron aplicados sin los datos de tiempo de tránsito de onda P para analizar el impacto de la falta de esta información. En general, los resultados indican una determinación adecuada de los parámetros petrofísicos en cada uno de los enfoques analizados. Las métricas de evaluación indican que el mejor desempeño se obtuvo con el enfoque dos, seguido del uno y el tres. La correcta estimación de los volúmenes de las distribuciones de arcilla no pudo ser determinada por ninguno de los tres métodos aplicados, pero el contenido total de arcilla se pudo predecir con precisión, lo que sugiere que existe el problema de no unicidad.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[clastic formations]]></kwd>
<kwd lng="en"><![CDATA[well logs]]></kwd>
<kwd lng="en"><![CDATA[petrophysical joint inversion]]></kwd>
<kwd lng="en"><![CDATA[machine learning]]></kwd>
<kwd lng="es"><![CDATA[formaciones clásticas]]></kwd>
<kwd lng="es"><![CDATA[registros geofísicos de pozo]]></kwd>
<kwd lng="es"><![CDATA[inversión petrofísica conjunta]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje automático]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alpak]]></surname>
<given-names><![CDATA[F. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres-Verdín]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Habashy]]></surname>
<given-names><![CDATA[T. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Petrophysical inversion of borehole array-induction logs: Part I-Numerical examples]]></article-title>
<source><![CDATA[Geophysics]]></source>
<year>2006</year>
<volume>71</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>F101-19</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Anemangely]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramezanzadeh]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Amiri]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Hoseinpour]]></surname>
<given-names><![CDATA[S.-A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning technique for the prediction of shear wave velocity using petrophysical logs]]></article-title>
<source><![CDATA[Journal of Petroleum Science and Engineering]]></source>
<year>2019</year>
<volume>174</volume>
<page-range>306-27</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aquino]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Inversión conjunta de registros de pozos para la evaluación petrofísica en formaciones areno-arcillosas anisótropas]]></source>
<year>2011</year>
<publisher-name><![CDATA[Instituto Mexicano del Petróleo]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aquino-López]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mousatov]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Markov]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Model of sand formations for joint simulation of elastic moduli and electrical conductivity]]></article-title>
<source><![CDATA[Journal of Geophysics and Engineering]]></source>
<year>2011</year>
<volume>8</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>568-78</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aquino-López]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mousatov]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Markov]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kazatchenko]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modeling and inversion of elastic wave velocities and electrical conductivity in clastic formations with structural and dispersed shales]]></article-title>
<source><![CDATA[Journal of Applied Geophysics]]></source>
<year>2015</year>
<volume>116</volume>
<page-range>28-42</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Archie]]></surname>
<given-names><![CDATA[G. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The electrical resistivity log as an aid in determining some reservoir characteristics]]></article-title>
<source><![CDATA[Transactions of the AIME]]></source>
<year>1942</year>
<volume>146</volume>
<numero>01</numero>
<issue>01</issue>
<page-range>54-62</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bhatt]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Helle]]></surname>
<given-names><![CDATA[H. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Determination of facies from well logs using modular neural networks]]></article-title>
<source><![CDATA[Petroleum Geoscience]]></source>
<year>2002</year>
<volume>8</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>217-28</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bishop]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Pattern Recognition and Machine Learning]]></source>
<year>2006</year>
<publisher-loc><![CDATA[New York, NY ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bjørlykke]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Jahren]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sandstones and sandstone reservoirs]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Avseth]]></surname>
<given-names><![CDATA[A. Per]]></given-names>
</name>
<name>
<surname><![CDATA[Faleide]]></surname>
<given-names><![CDATA[Jan Inge]]></given-names>
</name>
<name>
<surname><![CDATA[Gabrielsen]]></surname>
<given-names><![CDATA[Roy H.]]></given-names>
</name>
<name>
<surname><![CDATA[Hanken]]></surname>
<given-names><![CDATA[Nils-Martin]]></given-names>
</name>
<name>
<surname><![CDATA[Høeg]]></surname>
<given-names><![CDATA[Kaare]]></given-names>
</name>
<name>
<surname><![CDATA[Jahren]]></surname>
<given-names><![CDATA[Jens]]></given-names>
</name>
<name>
<surname><![CDATA[Landrø]]></surname>
<given-names><![CDATA[Martin]]></given-names>
</name>
<name>
<surname><![CDATA[Mondol]]></surname>
<given-names><![CDATA[Nazmul Haque]]></given-names>
</name>
<name>
<surname><![CDATA[Nagy]]></surname>
<given-names><![CDATA[Jenø]]></given-names>
</name>
<name>
<surname><![CDATA[Nielsen]]></surname>
<given-names><![CDATA[Jesper Kresten]]></given-names>
</name>
</person-group>
<source><![CDATA[Petroleum Geoscience: From Sedimentary Environments to Rock Physics]]></source>
<year>2010</year>
<page-range>113-40</page-range><publisher-loc><![CDATA[Berlin, Heidelberg ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Boser]]></surname>
<given-names><![CDATA[B. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Guyon]]></surname>
<given-names><![CDATA[I. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Vapnik]]></surname>
<given-names><![CDATA[V. N.]]></given-names>
</name>
</person-group>
<source><![CDATA[A training algorithm for optimal margin classifiers]]></source>
<year>1992</year>
<conf-name><![CDATA[ Proceedings of the fifth annual workshop on Computational learning theory - COLT '92]]></conf-name>
<conf-loc> </conf-loc>
<page-range>144-52</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bukar]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Adamu]]></surname>
<given-names><![CDATA[M. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Hassan]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
</person-group>
<source><![CDATA[A machine learning approach to shear sonic log prediction]]></source>
<year>2019</year>
<conf-name><![CDATA[ SPE Nigeria Annual International Conference and Exhibition]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bust]]></surname>
<given-names><![CDATA[V. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Majid]]></surname>
<given-names><![CDATA[A. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Oletu]]></surname>
<given-names><![CDATA[J. U.]]></given-names>
</name>
<name>
<surname><![CDATA[Worthington]]></surname>
<given-names><![CDATA[P. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The petrophysics of shale gas reservoirs: Technical challenges and pragmatic solutions]]></article-title>
<source><![CDATA[Petroleum Geoscience]]></source>
<year>2013</year>
<volume>19</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>91-103</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chicco]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Warrens]]></surname>
<given-names><![CDATA[M. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jurman]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation]]></article-title>
<source><![CDATA[PeerJ Computer Science]]></source>
<year>2021</year>
<volume>7</volume>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Clavier]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Coates]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Dumanoir]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Theoretical and experimental bases for the dual-water model for interpretation of shaly sands]]></article-title>
<source><![CDATA[Society of Petroleum Engineers Journal]]></source>
<year>1984</year>
<volume>24</volume>
<numero>02</numero>
<issue>02</issue>
<page-range>153-68</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Friedl]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Brodley]]></surname>
<given-names><![CDATA[C. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Decision tree classification of land cover from remotely sensed data]]></article-title>
<source><![CDATA[Remote Sensing of Environment]]></source>
<year>1997</year>
<volume>61</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>399-409</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Géron]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow]]></source>
<year>2019</year>
<edition>2a ed.</edition>
<publisher-name><![CDATA[O&#8217;Reilly Media, Inc.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Geurts]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Ernst]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Wehenkel]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Extremely randomized trees]]></article-title>
<source><![CDATA[Machine Learning]]></source>
<year>2006</year>
<volume>63</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>3-42</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ghavami]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Developing synthetic logs using artificial neural network: Application to Knox County in Kentucky]]></source>
<year>2011</year>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hajizadeh]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[AL Mudaliar]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Tewari]]></surname>
<given-names><![CDATA[R. D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Designing a pragmatic solution for complex numerical modeling problem in thinly laminated reservoirs]]></article-title>
<source><![CDATA[Journal of Petroleum Exploration and Production Technology]]></source>
<year>2019</year>
<volume>9</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>2831-44</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[D. H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Effects of porosity and clay content on acoustic properties of sandstones and unconsolidated sediments]]></source>
<year>1986</year>
<publisher-loc><![CDATA[Stanford, USA ]]></publisher-loc>
<publisher-name><![CDATA[Stanford University, Department of Geophysics]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[D. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Nur]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Morgan]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effects of porosity and clay content on wave velocities in sandstones]]></article-title>
<source><![CDATA[Geophysics]]></source>
<year>1986</year>
<volume>51</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>2093-107</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Heidari]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres-Verdín]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inversion-based method for estimating total organic carbon and porosity and for diagnosing mineral constituents from multiple well logs in shale-gas formations]]></article-title>
<source><![CDATA[Interpretation]]></source>
<year>2013</year>
<volume>1</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>T113-23</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Heidari]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Torres-Verdín]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inversion-based detection of bed boundaries for petrophysical evaluation with well logs: Applications to carbonate and organic-shale formations]]></article-title>
<source><![CDATA[Interpretation]]></source>
<year>2014</year>
<volume>2</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>T129-42</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hoerl]]></surname>
<given-names><![CDATA[A. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Kennard]]></surname>
<given-names><![CDATA[R. W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ridge Regression: Biased estimation for nonorthogonal problems]]></article-title>
<source><![CDATA[Technometrics]]></source>
<year>1970</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>55-67</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[James]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Witten]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Hastie]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Tibshirani]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[An Introduction to statistical learning]]></source>
<year>2013</year>
<publisher-name><![CDATA[Springer New York]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kazatchenko]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Markov]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mousatov]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Joint inversion of acoustic and resistivity data for carbonate microstructure evaluation]]></article-title>
<source><![CDATA[Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir Description]]></source>
<year>2004</year>
<volume>45</volume>
<numero>02</numero>
<issue>02</issue>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kazatchenko]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Markov]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mousatov]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pervago]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Joint inversion of conventional well logs for evaluation of double-porosity carbonate formations]]></article-title>
<source><![CDATA[Journal of Petroleum Science and Engineering]]></source>
<year>2007</year>
<volume>56</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>252-66</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Koza]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Bennett]]></surname>
<given-names><![CDATA[F. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Andre]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Keane]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated design of both the topology and sizing of analog electrical circuits using genetic programming]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Gero]]></surname>
<given-names><![CDATA[J. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Sudweeks]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Artificial Intelligence in Design '96]]></source>
<year>1996</year>
<page-range>151-70</page-range><publisher-name><![CDATA[Springer Netherlands]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Markov]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Levine]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Mousatov]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kazatchenko]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Elastic properties of double-porosity rocks using the differential effective medium model]]></article-title>
<source><![CDATA[Geophysical Prospecting]]></source>
<year>2005</year>
<volume>53</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>733-54</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meju]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Geophysical data analysis: understanding inverse problem theory and practice]]></source>
<year>1994</year>
<publisher-name><![CDATA[Society of Exploration Geophysicists]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mezzatesta]]></surname>
<given-names><![CDATA[A. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Mollison]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Frost]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Laminated Shaly Sand Reservoirs-An Interpretation Model Incorporating New Measurements]]></article-title>
<source><![CDATA[Proceedings of the SPWLA 43rd Annual Logging Symposium]]></source>
<year>2002</year>
<publisher-loc><![CDATA[Oiso, Japan ]]></publisher-loc>
<publisher-name><![CDATA[Society of Petrophysicists and Well Log Analysts (SPWLA)]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mezzatesta]]></surname>
<given-names><![CDATA[A. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Mollison]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Frost]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Laminated Shaly Sand Reservoirs-An Interpretation Model Incorporating New Measurements]]></source>
<year>2002</year>
<conf-name><![CDATA[ SPWLA Annual Logging Symposium]]></conf-name>
<conf-loc>Oiso, Japan </conf-loc>
</nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Minear]]></surname>
<given-names><![CDATA[J. W.]]></given-names>
</name>
</person-group>
<source><![CDATA[Clay models and acoustic velocities]]></source>
<year>1982</year>
<conf-name><![CDATA[ SPE Annual Technical Conference and Exhibition]]></conf-name>
<conf-loc> </conf-loc>
<publisher-name><![CDATA[SPE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mitchell]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Machine Learning]]></source>
<year>1996</year>
<edition>First</edition>
<publisher-name><![CDATA[McGraw-Hill Education]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mitchell]]></surname>
<given-names><![CDATA[W. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Nelson]]></surname>
<given-names><![CDATA[R. J.]]></given-names>
</name>
</person-group>
<source><![CDATA[A practical approach to statistical log analysis]]></source>
<year>1988</year>
<conf-name><![CDATA[ SPWLA Annual Logging Symposium]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Müller]]></surname>
<given-names><![CDATA[A. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Guido]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Introduction to machine learning with Python]]></source>
<year>2016</year>
<edition>First edit</edition>
<publisher-name><![CDATA[O&#8217;Reilly Media, Inc.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nguyen-Sy]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[To]]></surname>
<given-names><![CDATA[Q.-D.]]></given-names>
</name>
<name>
<surname><![CDATA[Vu]]></surname>
<given-names><![CDATA[M.-N.]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[T.-D.]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[T.-T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicting the electrical conductivity of brine-saturated rocks using machine learning methods]]></article-title>
<source><![CDATA[Journal of Applied Geophysics]]></source>
<year>2021</year>
<volume>184</volume>
</nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pérez-Rosales]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[On the relationship between formation resistivity factor and porosity]]></article-title>
<source><![CDATA[Society of Petroleum Engineers Journal]]></source>
<year>1982</year>
<volume>22</volume>
<numero>04</numero>
<issue>04</issue>
<page-range>531-6</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Poupon]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Loy]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Tixier]]></surname>
<given-names><![CDATA[M. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A contribution to electrical log interpretation in shaly sands]]></article-title>
<source><![CDATA[Journal of petroleum Technology]]></source>
<year>1954</year>
<volume>6</volume>
<numero>06</numero>
<issue>06</issue>
<page-range>27-34</page-range></nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rasmussen]]></surname>
<given-names><![CDATA[C. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Williams]]></surname>
<given-names><![CDATA[C. K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Gaussian processes for machine learning]]></source>
<year>2006</year>
<publisher-loc><![CDATA[Cambridge, MA ]]></publisher-loc>
<publisher-name><![CDATA[MIT press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rolon]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohaghegh]]></surname>
<given-names><![CDATA[S. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ameri]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Gaskari]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[McDaniel]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using artificial neural networks to generate synthetic well logs]]></article-title>
<source><![CDATA[Journal of Natural Gas Science and Engineering]]></source>
<year>2009</year>
<volume>1</volume>
<numero>4-5</numero>
<issue>4-5</issue>
<page-range>118-33</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Samuel]]></surname>
<given-names><![CDATA[A. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Some studies in machine learning using the game of checkers]]></article-title>
<source><![CDATA[IBM Journal of Research and Development]]></source>
<year>1959</year>
<volume>3</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>210-29</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shalev-Shwartz]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ben-David]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Understanding machine learning]]></source>
<year>2014</year>
<publisher-name><![CDATA[Cambridge University Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shedid]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Saad]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison and sensitivity analysis of water saturation models in shaly sandstone reservoirs using well logging data]]></article-title>
<source><![CDATA[Journal of Petroleum Science and Engineering]]></source>
<year>2017</year>
<volume>156</volume>
<page-range>536-45</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Simandoux]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Measures dielectrique en milieu poreux, application a mesure de saturation en eau, etude des massifs argileaux]]></article-title>
<source><![CDATA[Revue de l'Inst. Francais du petrole]]></source>
<year>1963</year>
<page-range>193-215</page-range></nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Snieder]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Trampert]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inverse problems in geophysics]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Wirgin]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Wavefield Inversion]]></source>
<year>1999</year>
<page-range>119-90</page-range><publisher-name><![CDATA[Springer Vienna]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thomas]]></surname>
<given-names><![CDATA[E.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Stieber]]></surname>
<given-names><![CDATA[S. J.]]></given-names>
</name>
</person-group>
<source><![CDATA[The distribution of shale in sandstones and its effect on porosity]]></source>
<year>1975</year>
<conf-name><![CDATA[ Trans SPWLA 16th Annual Logging Symp]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Torres-Verdín]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Alpak]]></surname>
<given-names><![CDATA[F. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Habashy]]></surname>
<given-names><![CDATA[T. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Petrophysical inversion of borehole array-induction logs: Part II&#8212;Field data examples]]></article-title>
<source><![CDATA[Geophysics]]></source>
<year>2006</year>
<volume>71</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>G261-8</page-range></nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tosaya]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Nur]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effects of diagenesis and clays on compressional velocities in rocks]]></article-title>
<source><![CDATA[Geophysical Research Letters]]></source>
<year>1982</year>
<volume>9</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>5-8</page-range></nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A robust combination approach for short-term wind speed forecasting and analysis &#8211; Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model]]></article-title>
<source><![CDATA[Energy]]></source>
<year>2015</year>
<volume>93</volume>
<page-range>41-56</page-range></nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Waxman]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Smits]]></surname>
<given-names><![CDATA[L. J. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Electrical conductivities in oil-bearing shaly-sands]]></article-title>
<source><![CDATA[Society of Petroleum Engineers Journal]]></source>
<year>1968</year>
<volume>8</volume>
<numero>02</numero>
<issue>02</issue>
<page-range>107-22</page-range></nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wilson]]></surname>
<given-names><![CDATA[M. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Pittman]]></surname>
<given-names><![CDATA[E. D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Authigenic clays in sandstones: recognition and influence on reservoir properties and paleoenvironmental analysis]]></article-title>
<source><![CDATA[Journal of Sedimentary Research]]></source>
<year>1977</year>
<volume>47</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>3-31</page-range></nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Winsauer]]></surname>
<given-names><![CDATA[W. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Shearin Jr]]></surname>
<given-names><![CDATA[H. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Masson]]></surname>
<given-names><![CDATA[P. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Williams]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Resistivity of brine-saturated sands in relation to pore geometry]]></article-title>
<source><![CDATA[AAPG Bulletin]]></source>
<year>1952</year>
<volume>36</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>253-77</page-range></nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wolpert]]></surname>
<given-names><![CDATA[D. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Macready]]></surname>
<given-names><![CDATA[W. G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[No free lunch theorems for optimization]]></article-title>
<source><![CDATA[IEEE Transactions on Evolutionary Computation]]></source>
<year>1997</year>
<volume>1</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>67-82</page-range></nlm-citation>
</ref>
<ref id="B55">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Worthington]]></surname>
<given-names><![CDATA[P. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recognition and evaluation of low-resistivity pay]]></article-title>
<source><![CDATA[Petroleum geoscience]]></source>
<year>2000</year>
<volume>6</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>77-92</page-range></nlm-citation>
</ref>
<ref id="B56">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Worthington]]></surname>
<given-names><![CDATA[P. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The influence of formation anisotropy upon resistivity-porosity relationships]]></article-title>
<source><![CDATA[Petrophysics]]></source>
<year>2001</year>
<volume>42</volume>
<numero>02</numero>
<issue>02</issue>
</nlm-citation>
</ref>
<ref id="B57">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Worthington]]></surname>
<given-names><![CDATA[P. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The petrophysics of problematic reservoirs]]></article-title>
<source><![CDATA[Journal of Petroleum Technology]]></source>
<year>2011</year>
<volume>63</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>88-97</page-range></nlm-citation>
</ref>
<ref id="B58">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wyllie]]></surname>
<given-names><![CDATA[M. R. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gregory]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Formation factors of unconsolidated porous media: Influence of particle shape and effect of cementation]]></article-title>
<source><![CDATA[Journal of petroleum technology]]></source>
<year>1953</year>
<volume>5</volume>
<numero>04</numero>
<issue>04</issue>
<page-range>103-10</page-range></nlm-citation>
</ref>
<ref id="B59">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wyllie]]></surname>
<given-names><![CDATA[M. R. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gregory]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Gardner]]></surname>
<given-names><![CDATA[G. H. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An experimental investigation of factors affecting elastic wave velocities in porous media]]></article-title>
<source><![CDATA[Geophysics]]></source>
<year>1958</year>
<volume>23</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>459-93</page-range></nlm-citation>
</ref>
<ref id="B60">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zeng]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yi]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Feng]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Lv]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Luo]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Provenance of loess deposits and stepwise expansion of the desert environment in NE China since ~1.2 Ma: Evidence from Nd-Sr isotopic composition and grain-size record]]></article-title>
<source><![CDATA[Global and Planetary Change]]></source>
<year>2020</year>
<volume>185</volume>
</nlm-citation>
</ref>
<ref id="B61">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Bao]]></surname>
<given-names><![CDATA[Z. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[Y. Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Gong]]></surname>
<given-names><![CDATA[F. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Origins of authigenic minerals and their impacts on reservoir quality of tight sandstones: Upper Triassic Chang-7 Member, Yanchang Formation, Ordos Basin, China]]></article-title>
<source><![CDATA[Australian Journal of Earth Sciences]]></source>
<year>2017</year>
<volume>64</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>519-36</page-range></nlm-citation>
</ref>
<ref id="B62">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhdanov]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Geophysical inverse theory and regularization problems]]></source>
<year>2002</year>
<volume>V. 36</volume>
<publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B63">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zwennes]]></surname>
<given-names><![CDATA[J.W.]]></given-names>
</name>
</person-group>
<source><![CDATA[Shale distribution quantification in a sandstone reservoir using density porosity and neutron porosity log data]]></source>
<year>2017</year>
<publisher-name><![CDATA[University of Louisiana at Lafayette]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
