Results 241 to 250 of about 4,702 (274)

Identification of Lithology in Gulf of Mexico Miocene Rocks

Offshore Technology Conference, 1996
Abstract In the (W of Mexico, many gas-saturated sands are not Bright Spots and thus arc difficult m dewct on conventional 31) seismic data. These small amplitude reelections occur frequently in pliocene-Miocene exploration plays when the acoustic impedances of the gas-saturated sands id shales are approximately the
F.J. Hilterman, J.W.C. Sherwood, R. Schellhorn, Brad Bankhead, Bryan DeVault   +4 more
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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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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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A Hybrid Reducing Error Correcting Output Code for Lithology Identification

IEEE Transactions on Circuits and Systems II: Express Briefs, 2020
Lithology information is critical to the adjustment of drilling control strategies, and can be identified by training a classification model from the well logging data. However, achieving accurate lithology identification is rather difficult owing to complex characteristics, such as data imbalance, data-overlapping, and multi-classification.
Xi Chen, Weihua Cao, Chao Gan, Wenkai Hu, Min Wu 0002   +4 more
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Lithology identification on well logs by fuzzy inference

Journal of Petroleum Science and Engineering, 2019
Abstract The purpose of this work is to present a fuzzy inference system in order to identify lithologies from wireline logs and core data from a specific borehole and transport this information to nearby uncored wells in the same oilfield. Input variables in this inference system are natural gamma ray log (GR) and porosity logs (density, neutron ...
Diogo Maia Ramos Lopes, André José Neves Andrade   +1 more
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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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Study on Lithology Identification and Prediction in PX Bedrock Reservoir

2020
The practice of exploration and development in recent years shows that the reservoir lithology changes rapidly in the large-scale bedrock gas field in Altun forelands. in the Qaidam Basin. The PX bedrock gas reservoir is located in the gas field of the Altun forelands, and the drilling reveals that the main lithology is epimetamorphic limestone, slate ...
Ying-ru Liu, Tian-xiang Wang, Bin-shan Du, Gang Wang, Jia-sha Tu   +4 more
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Reservoir Lithology Identification Based on Improved Adversarial Learning

IEEE Geoscience and Remote Sensing Letters, 2023
Lei Song 0004, Xingyao Yin, Linjie Yin
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Lithology Classification Based on Set-Valued Identification Method

Journal of Systems Science and Complexity, 2022
Jing Li, Lifang Wu, Wenjun Lü, Ting Wang, Yu Kang, Deyong Feng, Hansheng Zhou   +6 more
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Intelligent Identification of Formation Lithology While Drilling

International Petroleum Technology Conference
Abstract During drilling engineering, the rate of penetration (ROP) is the basic index to measure the drill ability of various rocks, and drilling parameters are the main control factors that affect the ROP. Identifying formation lithology while drilling can promptly adjust drilling parameters and effectively improve drilling efficiency.
C. Peng, H. L. Zhang, J. H. Fu, Q. F. Li, J. Li, B. Zhu, J. P. Peng, H. R. Zhang   +7 more
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