LAPSE:2023.4313
Published Article

LAPSE:2023.4313
Study on a New Transient Productivity Model of Horizontal Well Coupled with Seepage and Wellbore Flow
February 22, 2023
Abstract
Digital transformation has become one of the major themes of the development of the global oil industry today. With the development of digital transformation, on-site production will surely achieve further automated management, that is, on-site production data automatic collection, real-time tracking, diagnosis and optimization, and remote control of on-site automatic adjustment devices. In this process, the realization of real-time optimization work based on massive data collection needs to be carried out combined with oil and gas well transient simulation. Therefore, research of the horizontal well capacity prediction transient model is one of the important basic works in the work of oil and gas digital transformation. In this paper, the method and process of establihing the transient calculation model of single-phase flow in horizontal wells are introduced in detail from three aspects: reservoir seepage, horizontal wellbore flow (taking one kind of flow as an example), and the coupling model of two flows. The model is more reliable through the verification of pressure recovery data from multiple field logs. The transient model of single-phase seepage in horizontal wells will lay the foundation for the establishment of transient models of oil-gas two-phase seepage and oil-gas-water three-phase seepage.
Digital transformation has become one of the major themes of the development of the global oil industry today. With the development of digital transformation, on-site production will surely achieve further automated management, that is, on-site production data automatic collection, real-time tracking, diagnosis and optimization, and remote control of on-site automatic adjustment devices. In this process, the realization of real-time optimization work based on massive data collection needs to be carried out combined with oil and gas well transient simulation. Therefore, research of the horizontal well capacity prediction transient model is one of the important basic works in the work of oil and gas digital transformation. In this paper, the method and process of establihing the transient calculation model of single-phase flow in horizontal wells are introduced in detail from three aspects: reservoir seepage, horizontal wellbore flow (taking one kind of flow as an example), and the coupling model of two flows. The model is more reliable through the verification of pressure recovery data from multiple field logs. The transient model of single-phase seepage in horizontal wells will lay the foundation for the establishment of transient models of oil-gas two-phase seepage and oil-gas-water three-phase seepage.
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Keywords
coupling model, digital transformation, horizontal well capacity prediction, real-time optimization, transient model
Subject
Suggested Citation
Liu P, Wang Q, Luo Y, He Z, Luo W. Study on a New Transient Productivity Model of Horizontal Well Coupled with Seepage and Wellbore Flow. (2023). LAPSE:2023.4313
Author Affiliations
Liu P: Sichuan Changning Gas Development Company, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China
Wang Q: PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
Luo Y: Sichuan Changning Gas Development Company, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China
He Z: Sichuan Changning Gas Development Company, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China
Luo W: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China [ORCID]
Wang Q: PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
Luo Y: Sichuan Changning Gas Development Company, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China
He Z: Sichuan Changning Gas Development Company, PetroChina Southwest Oil & Gas Field Company, Chengdu 610051, China
Luo W: Petroleum Engineering Institute, Yangtze University, Wuhan 430100, China [ORCID]
Journal Name
Processes
Volume
9
Issue
12
First Page
2257
Year
2021
Publication Date
2021-12-14
ISSN
2227-9717
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Original Submission
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PII: pr9122257, Publication Type: Journal Article
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LAPSE:2023.4313
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https://doi.org/10.3390/pr9122257
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Feb 22, 2023
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