Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data
In order to clarify the gas-water two-phase flow law in horizontal wells and study the gas-water two-phase flow characteristics in horizontal wells, firstly, the gas-water two-phase in a horizontal well is numerically simulated and analyzed, and the flow pattern distribution under different well inc...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2023/6178829 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849471402201055232 |
|---|---|
| author | Xiaoyun Zhao Hongwei Song Mingxing Wang Xinlei Shi |
| author_facet | Xiaoyun Zhao Hongwei Song Mingxing Wang Xinlei Shi |
| author_sort | Xiaoyun Zhao |
| collection | DOAJ |
| description | In order to clarify the gas-water two-phase flow law in horizontal wells and study the gas-water two-phase flow characteristics in horizontal wells, firstly, the gas-water two-phase in a horizontal well is numerically simulated and analyzed, and the flow pattern distribution under different well inclination angles and different phase separation flow rates is obtained. Secondly, a series of production logging instruments including CAT instrument was used to conduct experimental research on gas-water two-phase flow under different flow conditions, and the measured values of each CAT probe were extracted to reflect the local holdup under different flow patterns. Finally, SSA-BP neural network algorithm is used to identify a gas-water two-phase flow pattern in a wellbore by using experimental parameters such as center holdup, well inclination angle, spinner revolution, and CAT probe measurements. The recognition accuracy of the neural network was improved from 83.75% to 91.66%, and the operation speed was accelerated. It provides a research idea to explore the flow characteristics of gas-water two-phase flow in horizontal wells. |
| format | Article |
| id | doaj-art-dbef66468d44489c823d31eb6b6b3aac |
| institution | Kabale University |
| issn | 1468-8123 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-dbef66468d44489c823d31eb6b6b3aac2025-08-20T03:24:51ZengWileyGeofluids1468-81232023-01-01202310.1155/2023/6178829Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging DataXiaoyun Zhao0Hongwei Song1Mingxing Wang2Xinlei Shi3School of Geophysics and Oil ResourcesSchool of Geophysics and Oil ResourcesSchool of Geophysics and Oil ResourcesCNOOC China Limited Tianjin BranchIn order to clarify the gas-water two-phase flow law in horizontal wells and study the gas-water two-phase flow characteristics in horizontal wells, firstly, the gas-water two-phase in a horizontal well is numerically simulated and analyzed, and the flow pattern distribution under different well inclination angles and different phase separation flow rates is obtained. Secondly, a series of production logging instruments including CAT instrument was used to conduct experimental research on gas-water two-phase flow under different flow conditions, and the measured values of each CAT probe were extracted to reflect the local holdup under different flow patterns. Finally, SSA-BP neural network algorithm is used to identify a gas-water two-phase flow pattern in a wellbore by using experimental parameters such as center holdup, well inclination angle, spinner revolution, and CAT probe measurements. The recognition accuracy of the neural network was improved from 83.75% to 91.66%, and the operation speed was accelerated. It provides a research idea to explore the flow characteristics of gas-water two-phase flow in horizontal wells.http://dx.doi.org/10.1155/2023/6178829 |
| spellingShingle | Xiaoyun Zhao Hongwei Song Mingxing Wang Xinlei Shi Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data Geofluids |
| title | Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data |
| title_full | Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data |
| title_fullStr | Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data |
| title_full_unstemmed | Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data |
| title_short | Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data |
| title_sort | identification of gas water two phase flow patterns in horizontal wells of shale gas reservoirs based on production logging data |
| url | http://dx.doi.org/10.1155/2023/6178829 |
| work_keys_str_mv | AT xiaoyunzhao identificationofgaswatertwophaseflowpatternsinhorizontalwellsofshalegasreservoirsbasedonproductionloggingdata AT hongweisong identificationofgaswatertwophaseflowpatternsinhorizontalwellsofshalegasreservoirsbasedonproductionloggingdata AT mingxingwang identificationofgaswatertwophaseflowpatternsinhorizontalwellsofshalegasreservoirsbasedonproductionloggingdata AT xinleishi identificationofgaswatertwophaseflowpatternsinhorizontalwellsofshalegasreservoirsbasedonproductionloggingdata |