An integrated comprehensive approach describing structural features and comparative petrophysical analysis between conventional and machine learning tools to characterize carbonate reservoir: A case study from Upper Indus Basin, Pakistan

IF 3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Zohaib Naseer , Urooj Shakir , Muyyassar Hussain , Qazi Adnan Ahmad , Kamal Abdelrahman , Muhammad Fahad Mahmood , Mohammed S. Fnais , Muhsan Ehsan
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引用次数: 0

Abstract

More than 70% of the global hydrocarbon reserves are present in carbonated rocks. Evaluating prospects in carbonate reservoirs is a complicated task because of their unique depositional features. The Eocene carbonates in the Joyamair oil field are heterogeneous and present challenges defining the entrapment and sealing mechanism by applying traditional methods. Although structural interpretation revealed a positive triangular geometry, estimating accurate reservoir properties requires an effective model for assessing hydrocarbon presence. Therefore, an optimized machine learning (ML) approach has been deployed to address reservoir challenges and delineate the potential with a high success rate after drawing a comparison with the conventional approach. Two wells were utilized for petrophysical evaluation in the conventional method, while one well (Joyamair-04) was kept blind in a supervised ML approach. Extra Tree Regressor (ETR) produced a low volume of shale and effective porosity (PHIE) high results with more than 99% R2 and least mean square error score. Random Forest Regressor (RFR) showed water saturation (Sw) results with about 100% accuracy compared to conventional interpretation at a blind well. Volumetric reserve estimation also proved economical hydrocarbon reserves present in the reservoir formation. The study revealed that integrating conventional and ML techniques along with structural geometry aided better reservoir characterization and reserve estimation. The study proved that ML algorithms outperformed traditional petrophysical methods in accuracy and efficiency.
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来源期刊
Physics and Chemistry of the Earth
Physics and Chemistry of the Earth 地学-地球科学综合
CiteScore
5.40
自引率
2.70%
发文量
176
审稿时长
31.6 weeks
期刊介绍: Physics and Chemistry of the Earth is an international interdisciplinary journal for the rapid publication of collections of refereed communications in separate thematic issues, either stemming from scientific meetings, or, especially compiled for the occasion. There is no restriction on the length of articles published in the journal. Physics and Chemistry of the Earth incorporates the separate Parts A, B and C which existed until the end of 2001. Please note: the Editors are unable to consider submissions that are not invited or linked to a thematic issue. Please do not submit unsolicited papers. The journal covers the following subject areas: -Solid Earth and Geodesy: (geology, geochemistry, tectonophysics, seismology, volcanology, palaeomagnetism and rock magnetism, electromagnetism and potential fields, marine and environmental geosciences as well as geodesy). -Hydrology, Oceans and Atmosphere: (hydrology and water resources research, engineering and management, oceanography and oceanic chemistry, shelf, sea, lake and river sciences, meteorology and atmospheric sciences incl. chemistry as well as climatology and glaciology). -Solar-Terrestrial and Planetary Science: (solar, heliospheric and solar-planetary sciences, geology, geophysics and atmospheric sciences of planets, satellites and small bodies as well as cosmochemistry and exobiology).
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