The Health Index Prediction Model and Application of PCP in CBM Wells Based on Deep Learning
Aiming at the problems of the current production and operation status of the progressive cavity pump (PCP) in coalbed methane (CBM) wells which cannot be timely monitored, quantitatively evaluated, and accurately predicted, a five-step method for evaluating and predicting the health status of PCP we...
Saved in:
Main Authors: | Chaodong Tan, Song Wang, Hanwen Deng, Guoqing Han, Guanghao Du, Wenrong Song, Xiongying Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Geofluids |
Online Access: | http://dx.doi.org/10.1155/2021/6641395 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Critical technologies and geology-engineering integration practices for deep CBM production in the Yanchuannan CBM field
by: Zhenlong CHEN, et al.
Published: (2025-01-01) -
Effect of Threshold Pressure Gradients on Control Areas Determination of Production Well in CBM Reservoirs
by: Ruifei Wang, et al.
Published: (2019-01-01) -
RhoA Promotes Synovial Proliferation and Bone Erosion in Rheumatoid Arthritis through Wnt/PCP Pathway
by: Ning Chen, et al.
Published: (2023-01-01) -
YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9
by: Xin Geng, et al.
Published: (2025-01-01) -
Characterization of pPCP1 Plasmids in Yersinia pestis Strains Isolated from the Former Soviet Union
by: Chythanya Rajanna, et al.
Published: (2010-01-01)