Probabilistic production forecasting and reserves estimation: Benchmarking Gaussian decline curve analysis against the traditional Arps method (Wolfcamp shale case study)-Reference-Cited by-同舟云学术

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Probabilistic production forecasting and reserves estimation: Benchmarking Gaussian decline curve analysis against the traditional Arps method (Wolfcamp shale case study)

Published:2024-01 Issue: Volume:232 Page:212373
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Pratama Muhammad Andiva^ORCID,Al Qoroni Omar,Rahmatullah Idham Kholid,Jameel Mohammed Farhan^ORCID,Weijermars Ruud

Publisher

Elsevier BV

Reference54 articles.

1. Information theory and an extension of the maximum likelihood principle;Akaike,1973

2. Probabilistic estimation of hydraulic fracture half-lengths: validating the Gaussian pressure-transient method with the traditional rate transient analysis-method (Wolfcamp case study);Alvayed;J. Pet. Explor. Prod. Technol.,2023

3. Analysis of decline curves;Arps;Trans. AIME,1945

4. Hydraulic fracture design and well production results in the Eagle Ford shale: one operator's perspective;Bazan,2012

5. A case study of reservoir parameter estimation in Norne oil field, Norway by using Ensemble Kalman Filter (EnKF);Begum,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of fracture half-length with fast Gaussian pressure transient and RTA methods: Wolfcamp shale formation case study;Journal of Petroleum Exploration and Production Technology;2023-09-12

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