Production Allocation Optimization of Gas Reservoirs with Edge and Bottom Aquifer Based on a Parallel-Structured Genetic Algorithm-Reference-Cited by-同舟云学术

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Production Allocation Optimization of Gas Reservoirs with Edge and Bottom Aquifer Based on a Parallel-Structured Genetic Algorithm

Published:2024-06-11 Issue:25 Volume:9 Page:27329-27337
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Cheng Youyou¹,Luo Xiang²^ORCID,Chen Pengyu³,Guo Chunqiu³,Wang Fulong¹,Tan Chengqian¹

Affiliation:

1. Xi’an Shiyou University, School of Earth Science and Engineering, Xi’an 710065, China

2. Xi’an Shiyou University, School of Petroleum Engineering, Xi’an 710065, China

3. Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China

Funder

China National Petroleum Corporation

Natural Science Basic Research Program of Shaanxi Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c01877

Reference33 articles.

1. Energy consumption modeling using artificial neural networks: The case of the world’s highest consumers

2. A coupling model of water breakthrough time for a multilateral horizontal well in a bottom water-drive reservoir

3. Well-Controlled Dynamic Reserves Calculation of Abnormally High-Pressured Gas Reservoirs Developed with Edge and Bottom Aquifers

4. Liu, J. Research on Water Invasion and Distribution of Remaining Oil in the Later Stage of Cyclic Steam Stimulation in Jin 91 Block. Master’s Thesis, Northeast Petroleum University, Heilongjiang, China, 2018.

5. Water Invasion Law and Water Invasion Risk Identification Method for Deep Sea Bottom-Water Gas Reservoir

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