Results 241 to 250 of about 2,839,750 (318)

Automatic Lithologies Identification From Well Log

6th International Congress of the Brazilian Geophysical Society, 1999
The complex mineralogical constitution of reservoir rocks and the need of correct lithology identification in a borehole from well log data, makes lithologic identification of a rock possible, not by means of a complete mineralogical description, but through the identification of its main mineral constituents or essential mineral. For identification of
André Andrade, Anna Ilcéa Fischetti
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Lithologic character identification based on QPSO-SVM

2012 IEEE 11th International Conference on Signal Processing, 2012
A novel support vector machine based on quantum particle swarm optimization (QPSO-SVM) is proposed for better solving formation lithologic character identification problem. An identification model for formation lithologic character is established using the data of actual well logging and lithologic profile by training the SVM, which is optimized by ...
Wuli Wang, Hai Ma, Yanjiang Wang
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Lithology Identification Using Lithology Impedance in Mumbai Offshore

2019
The study area belongs to the marine geological setup of Surat depression of Mumbai Offshore Basin, India. The lithology of three wells in Mumbai offshore is analyzed using Gamma-Ray (GR) log, Density (ρ) log, Resistivity (Rt) log and Neutron Porosity (Φ) log. This analysis makes the identification of the lithology difficult.
Amrita Roy, Rima Chatterjee
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Using LMR for dual attribute lithology identification

SEG Technical Program Expanded Abstracts 2001, 2001
Summary Amplitude versus offset (AVO) analysis of pre-stack seismic data has made several advances since Shuey’s (1985) approximation to the Knott’s-Zoepprittz equation made it practical. By combining AVO attributes and geology, petrophysical properties of the rocks and fluids that make up the reservoirs that interpreters are interested in are better ...
Paul F. Anderson, F. David Gray
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Lithology Identification and Estimation of Total Organic Carbon in Organic Shale Through Machine Learning Approaches: Insight From Geochemical Analysis for Source Rock Evaluation

International Journal of Energy Research
Identification and classification of lithology and estimating total organic carbon (TOC) content in organic shale for source rock evaluation are challenging through indirect approaches in the sedimentary basin and have been addressed in current research ...
M. Ehsan, Rujun Chen, Mehboob Ul Haq Abbasi, Kamal Abdelrahman, Jar Ullah, Zohaib Naseer   +5 more
semanticscholar   +1 more source

Integrated Evaluation Approach of Complex Lithology Identification

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, 2013
The lithology of igneous rock formation is complex in Xujiaweizi faulted depression, Songliao basin, and using the conventional way to identify lithology will create larger error. For improve the complex lithology identification accuracy in this region, this paper analyzes the response characteristics between the lithology and log data by using ...
Ju Pei -, Zhai Yinghu -, Cao Zhaohui -
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Active Domain Adaptation With Application to Intelligent Logging Lithology Identification

IEEE Transactions on Cybernetics, 2022
Lithology identification plays an essential role in formation characterization and reservoir exploration. As an emerging technology, intelligent logging lithology identification has received great attention recently, which aims to infer the lithology type through the well-logging curves using machine-learning methods.
Ji Chang, Yu Kang, Wei Xing Zheng, Yang Cao, Zerui Li, Wenjun Lv, Xing-Mou Wang   +6 more
openaire   +3 more sources

Application of Active Learning in Carbonate Lithologic Identification

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), 2021
In the process of oil and gas reservoir exploration, the high cost of lithology information obtained by core drilling makes it difficult to collect a large number of lithology samples. It is the key to use a small number of labeled samples with lithology information to train lithologic identification models. This paper proposes to apply active learning(
Biao Yuan, Zhongyuan Wu, Kai Zhang, Deqi Li, Qiaoyu Ma   +4 more
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Category-Wise Sequence Correlation Filter for Lithology Identification With Well Logs

IEEE Transactions on Geoscience and Remote Sensing
Well log data play a crucial role in lithology identification, given their nature as petrophysical measurements of stratigraphy that reflect lithological successions and depositional processes. Extracting recognizable features from well logs has become a
Zitong Zhang, Xin Zhang, Chunlei Zhang, Hanlin Feng   +3 more
semanticscholar   +1 more source

Lithology Identification of Buried Hill Reservoir Based on XGBoost with Optimized Interpretation

Processes
Buried hill reservoirs are characterized by complex formation conditions and highly heterogeneous rock structures, which result in the poor performance of traditional crossplot methods in stratigraphic lithology classification.
Bin Zhao, Wenlong Liao
semanticscholar   +1 more source