Research Papers: Petroleum Engineering

Feasibility Analysis and Optimal Design of Acidizing of Coalbed Methane Wells

[+] Author and Article Information
Zixi Guo

State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu, Sichuan 610500, China;
Petroleum Systems Engineering,
Faculty of Engineering and Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada

Yiyu Chen

PetroChina Coalbed Methane Company Limited,
Chaoyang, Beijing 100028, China

Shanshan Yao, Qiushi Zhang, Fanhua Zeng

Petroleum Systems Engineering,
Faculty of Engineering and Applied Science,
University of Regina,
Regina, SK S4S 0A2, Canada

Yongbing Liu

State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu, Sichuan 610500, China

1Corresponding author.

Contributed by the Petroleum Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received September 3, 2018; final manuscript received January 23, 2019; published online March 5, 2019. Editor: Hameed Metghalchi.

J. Energy Resour. Technol 141(8), 082907 (Mar 05, 2019) (12 pages) Paper No: JERT-18-1685; doi: 10.1115/1.4042735 History: Received September 03, 2018; Revised January 23, 2019

Plugging is a prominent reason for production reduction in coalbed methane (CBM) wells. In order to solve this problem, authors conducted the feasibility analysis and optimal design of acidizing of CBM wells to remove the plugging in Hancheng block (H block) China. First, X-ray diffraction analysis shows that the plugging contains acid-soluble minerals and the field case indicates that acidizing effect is positively correlated with the content of acid-soluble minerals. Inspired by this, authors analyze determining factors of the content of acid-soluble minerals. Well logging parameters (DEN, AC, GR) are selected to establish a neural network model to predict the content of acid-soluble minerals. Furthermore, a feasibility criterion of acidizing of CBM wells is proposed. Then, a forward model and an inversion algorithm are proposed to diagnose the plugging. The multisolution problem of parameters inversion is solved by the Gauss–Marquardt (G-M) algorithm based on the stochastic initial value and maximum probability. Combining this method with the current numerical model of acidizing, authors present an optimal design in order to optimize the volume and injection rate of the acid. Meanwhile, by experimental study, authors propose a new acid formulation. Finally, results have been applied in the field to confirm the feasibility of the acidizing. It turns out that acidizing is an effective stimulation technology for some specific CBM wells, and the feasibility analysis and the optimal design can improve the effect of acidizing of CBM wells.

Copyright © 2019 by ASME
Topics: Wells , Coal , Design , Methane , Minerals
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Grahic Jump Location
Fig. 1

Correlation between the content of acid soluble mineral in the plugging and the acidizing effect

Grahic Jump Location
Fig. 2

The correlation between DEN, AC, GR, and the acid-soluble mineral of the plugging

Grahic Jump Location
Fig. 3

The structure of the ANN

Grahic Jump Location
Fig. 5

Process of optimal design

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Fig. 6

The production of well H082

Grahic Jump Location
Fig. 9

Correlation between the content of acid soluble mineral in the plugging and the acidizing effect (based on 26 CBM wells)

Grahic Jump Location
Fig. 8

The change of the effect radius of acid and the permeability ratio of well H082 with time

Grahic Jump Location
Fig. 7

The pressure matching and verification of well H081



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