Application of High-Resolution Core Curve Construction in Logging Lithology Identification
Cejing jishu, 2023 Stratum lithology identification based on logging curves is an important direction in the interpretation of logging data, it is usually combined with drilling and coring experiments.
YOU Ting +5 more
doaj +1 more source
Lithology identification based on interpretability integration learning
Earth Science Informatics, 2023 Abstract A lithology intelligent identification interpretability model is proposed based on Ensemble Learning Stacking, Permutation Importance (PI) and Local Interpretable Model-agnostic Explanations (LIME). The method aiming to provide more accurate geological information and more scientific theoretical support for oil and gas resource ...
Xiaochun Lin, Shitao Yin
openaire +1 more source
Cross-Well Lithology Identification Based on Wavelet Transform and Adversarial Learning
Energies, 2023 For geological analysis tasks such as reservoir characterization and petroleum exploration, lithology identification is a crucial and foundational task.
Longxiang Sun +5 more
doaj +1 more source
Shale lithology identification using stacking model combined with SMOTE from well logs
Unconventional Resources, 2022 Shale lithology identification is the basis of geological research and reservoir characterization, and is an essential task for oil exploration. Recently, several machine learning algorithms have been applied to improve the accuracy of lithology ...
Jinlu Yang +8 more
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Vulnerability assessment of the karst aquifer feeding the Pertuso Spring (Central Italy): comparison between different applications of COP method [PDF]
, 2017 Karst aquifers vulnerability assessment and mapping are important tools for improved sustainable management and protection of karst groundwater resources.
DE FILIPPI, FRANCESCO MARIA +2 more
core +1 more source
Application of multivariate membership function discrimination method for lithology identification [PDF]
, 2017 Formation lithology identification is an indispensable link in oil and gas exploration. Precision of the traditional recognition method is difficult to guarantee when trying to identify lithology of particular formation with strong heterogeneity and ...
Lu, Yifan, Wang, Feifei, Zhao, Jun
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Intelligent identification of logging cuttings based on deep learning
Energy Reports, 2022 In oil and gas exploration, rock sample identification is a basic and important work. At present, the methods of rock sample identification mainly include gravity and magnetism, well logging, earthquake, remote sensing, electromagnetism, geochemistry ...
Huijia Wang
doaj +1 more source
Palaeolimnology of Lake Sapanca and identification of historic earthquake signals, Northern Anatolian Fault Zone (Turkey) [PDF]
, 2009 Lake Sapanca is located on a strand of the Northern Anatolian Fault Zone (NAFZ, Turkey), where a series of strong earthquakes (Ms >6.0) have occurred over the past hundred years. Identifying prehistoric earthquakes in and around Lake Sapanca is key to a
Bertrand, S +6 more
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Prospect Identification using AVO Inversion and Lithology Prediction [PDF]
ASEG Extended Abstracts, 2010 In 2008, WesternGeco acquired the 5000 sq/km Keystone multi-client survey located offshore between the giant Io/Jansz and Scarborough gas fields on Australia’s NW shelf, in order to image potential gas reservoir’s at multiple stratigraphic levels within complex geology.
Brad Bailey +3 more
openaire +2 more sources
P- and S- wave velocities of consolidated sediments from a seafloor seismic survey in the North Celtic Sea Basin, offshore Ireland [PDF]
, 2007 A geophysical survey was conducted over a hydrocarbon prospect in the North Celtic Sea Basin using a small array of ocean-bottom seismographs (OBSs). The purpose of this study was to determine the ratio of (P) compressional- to (S) shear-wave velocity of
Minshull, Timothy A. +3 more
core +1 more source