Next Article in Journal
The Evaluation and Development of a Prediction Artificial Neural Network Model for Specific Volumetric Fuel Efficiency (SVFE) of a Tractor–Chisel Plow System Based on Field Operation
Previous Article in Journal
Deep Reinforcement Learning-Based Multi-Objective Optimization for Virtual Power Plants and Smart Grids: Maximizing Renewable Energy Integration and Grid Efficiency
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Research on a Sand-Carrying Model of Horizontal Sections of Deep Coalbed Methane Wells

1
Linfen Branch of PetroChina Coalbed Methane Co., Ltd., Linfen 041000, China
2
Research Institute of Production Engineering and Technology, Tuha Oilfield Branch Company, Hami 701165, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(6), 1810; https://doi.org/10.3390/pr13061810
Submission received: 5 May 2025 / Revised: 4 June 2025 / Accepted: 5 June 2025 / Published: 6 June 2025
(This article belongs to the Section Energy Systems)

Abstract

Deep coalbed methane wells often encounter challenges such as inefficient sand transport and sand accumulation in the horizontal sections during drainage, which significantly impact the stability of gas production and the efficiency of the gas lift system. To investigate the sand-carrying mechanisms in the horizontal sections of deep coalbed methane wells, this study develops a theoretical model for critical sand-carrying velocity based on gravitational, buoyant, drag, and pressure gradient forces. Additionally, a visualized experimental system was constructed using a multiphase pipe flow platform. By varying parameters such as liquid flow rate, gas–liquid ratio, gravel particle size, and pipe inclination, the critical conditions for sand transport were examined, and the dominant factors influencing sand transport in horizontal wellbore sections were identified. The experimental results indicate that water flow rate and particle size are inversely correlated with the gas volume required for sand transport, whereas inclination angle is positively correlated. The proposed model was validated against experimental data, showing a prediction error within 15%, thereby confirming its accuracy and engineering applicability. These findings offer theoretical guidance and technical references for efficient drainage and stable gas production in horizontal wellbore sections of deep coalbed methane wells.
Keywords: deep coalbed methane; horizontal section; multiphase flow; critical sand-carrying model; sand-carrying production deep coalbed methane; horizontal section; multiphase flow; critical sand-carrying model; sand-carrying production

Share and Cite

MDPI and ACS Style

Sun, L.; Qi, W.; Qi, W.; Hao, L.; Tang, A.; Yang, L.; Zhang, K.; Zhang, Y. Research on a Sand-Carrying Model of Horizontal Sections of Deep Coalbed Methane Wells. Processes 2025, 13, 1810. https://doi.org/10.3390/pr13061810

AMA Style

Sun L, Qi W, Qi W, Hao L, Tang A, Yang L, Zhang K, Zhang Y. Research on a Sand-Carrying Model of Horizontal Sections of Deep Coalbed Methane Wells. Processes. 2025; 13(6):1810. https://doi.org/10.3390/pr13061810

Chicago/Turabian Style

Sun, Longfei, Weilin Qi, Wei Qi, Li Hao, Anda Tang, Lin Yang, Kang Zhang, and Yun Zhang. 2025. "Research on a Sand-Carrying Model of Horizontal Sections of Deep Coalbed Methane Wells" Processes 13, no. 6: 1810. https://doi.org/10.3390/pr13061810

APA Style

Sun, L., Qi, W., Qi, W., Hao, L., Tang, A., Yang, L., Zhang, K., & Zhang, Y. (2025). Research on a Sand-Carrying Model of Horizontal Sections of Deep Coalbed Methane Wells. Processes, 13(6), 1810. https://doi.org/10.3390/pr13061810

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop