Estimation of porosity and volume of shale using artificial intelligence, case study of Kashafrud Gas Reservoir, NE Iran

IF 2.4 4区工程技术 Q3 ENERGY & FUELS

Journal of Petroleum Exploration and Production Technology Pub Date : 2023-12-16 DOI:10.1007/s13202-023-01729-9

Pooya Naghizadeh Ardebili, Golnaz Jozanikohan, Ali Moradzadeh

引用次数: 0

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利用人工智能估算页岩的孔隙度和体积，伊朗东北部卡沙弗鲁德气藏案例研究

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来源期刊

Journal of Petroleum Exploration and Production Technology Multiple-

CiteScore

5.90

自引率

4.50%

发文量

151

审稿时长

13 weeks

期刊介绍： The Journal of Petroleum Exploration and Production Technology is an international open access journal that publishes original and review articles as well as book reviews on leading edge studies in the field of petroleum engineering, petroleum geology and exploration geophysics and the implementation of related technologies to the development and management of oil and gas reservoirs from their discovery through their entire production cycle. Focusing on: Reservoir characterization and modeling Unconventional oil and gas reservoirs Geophysics: Acquisition and near surface Geophysics Modeling and Imaging Geophysics: Interpretation Geophysics: Processing Production Engineering Formation Evaluation Reservoir Management Petroleum Geology Enhanced Recovery Geomechanics Drilling Completions The Journal of Petroleum Exploration and Production Technology is committed to upholding the integrity of the scientific record. As a member of the Committee on Publication Ethics (COPE) the journal will follow the COPE guidelines on how to deal with potential acts of misconduct. Authors should refrain from misrepresenting research results which could damage the trust in the journal and ultimately the entire scientific endeavor. Maintaining integrity of the research and its presentation can be achieved by following the rules of good scientific practice as detailed here: https://www.springer.com/us/editorial-policies