Please enable JavaScript for this site to function properly.
OnePetro
  • Help
  • About us
  • Contact us
Menu
  • Home
  • Journals
  • Conferences
  • Log in / Register

Log in to your subscription

and
Advanced search Show search help
  • Full text
  • Author
  • Company/Institution
  • Publisher
  • Journal
  • Conference
Boolean operators
This OR that
This AND that
This NOT that
Must include "This" and "That"
This That
Must not include "That"
This -That
"This" is optional
This +That
Exact phrase "This That"
"This That"
Grouping
(this AND that) OR (that AND other)
Specifying fields
publisher:"Publisher Name"
author:(Smith OR Jones)

Novel Coalbed Methane Reservoir Permeability and Reserve Evaluation Method Based on Flowing Material Balance Equation at Dewatering Stage Considering Permeability Variation

Authors
Juntai Shi (China University of Petroleum, Beijing) | Jiayi Wu (China University of Petroleum, Beijing) | Tao Zhang (China University of Petroleum, Beijing; The University of Texas at Austin) | Zheng Sun (China University of Petroleum, Beijing) | Yanran Jia (China University of Petroleum, Beijing) | Yexin Fang (China University of Petroleum, Beijing) | Xiangfang Li (China University of Petroleum, Beijing)
DOI
https://doi.org/10.15530/AP-URTEC-2019-198274
Document ID
URTEC-198274-MS
Publisher
Unconventional Resources Technology Conference
Source
SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, 18-19 November, Brisbane, Australia
Publication Date
2019
Document Type
Conference Paper
Language
English
ISBN
978-1-61399-673-7
Copyright
2019, Unconventional Resources Technology Conference (URTeC)
Keywords
Lattice Boltzmann, Nanopores, Shale matrix, Fluid-loss, Liquid slip effect
Downloads
41 in the last 30 days
42 since 2007
Show more detail
SPE Member Price: USD 9.50
SPE Non-Member Price: USD 28.00

Reserve and formation evaluation are the basis to the development of coalbed methane (CBM) reservoirs. To date, material balance methods and productivity analysis methods are mainly used to estimate the reserve and permeability, respectively. However, there are lack of methods for determining reserve and permeability simultaneously. In this work, the typical characteristics of undersaturated CBM reservoirs during production process, such as permeability variation and expansion effect of immobile gas, are firstly considered to derive a novel flowing material balance equation (FMBE), by which the reserve and permeability can be estimated. Based on the production data at single phase dewatering stage, the control volume and reservoir permeability of the CBM reservoir can be derived by the slope and y-intercept of the fitted straight line. And then the original gas in place (OGIP), initial water reserve, initial adsorbed gas reserve, initial free gas reserve, and initial dissolved gas reserve can be determined. Verification cases show that the errors between the evaluated and actual values are small, regardless of whether there is free gas in CBM reservoirs at the initial condition, indicating that the method is reasonable and accurate. The proposed method has been used in some CBM wells in China. It has been proven to be easy-to-use, time-saving, low-cost, and with high accuracy.

File Size  1 MBNumber of Pages   16

Aguilera, R.,1994. Formation evaluation of coalbed methane formations. J Can Pet Technol 33(9):22-28.

Ahmed, TH., Centilmen, A., Roux, BP., 2006 A generalized material balance equation for coalbed methane reservoirs. In: SPE Annual Technical Conference and Exhibition.

Aminian, K., Ameri, S., 2009. Predicting production performance of CBM reservoirs. J Nat Gas Sci Eng 1(1):25-30.

Chen, D., Liu, J., Pan, Z., Connell, L., 2010. Coalbed methane production: why coal permeability matters. In: SPE Asia Pacific Oil and Gas Conference and Exhibition.

Chen, Y., Liu, D., Yao, Y., Cai, Y., Chen, L., 2015. Dynamic permeability change during coalbed methane production and its controlling factors. J Nat Gas Sci Eng 25:335-346.

Clarkson, CR., Bustin, M., 2011. Coalbed Methane: Current field-based evaluation methods. SPE Reservoir Eval Eng 14(1):60-75.

Clarkson, CR., Jordan, CL., Gierhart, RR., Seidle, JP., 2008. Production data analysis of coalbed-methane wells. SPE Reservoir Eval Eng 11(2):311-325.

Clarkson, CR., Qanbari, F., 2016. A semi-analytical method for forecasting wells completed in low permeability, undersaturated CBM reservoirs. J Nat Gas Sci Eng 30:19-27.

Dhir, R., Dern, RR., 1991. Mavor MJ. Economic and reserve evaluation of coalbed methane reservoirs. J Petrol Technol 43(12):1424.

Gerami, S., Darvish, M., Morad, K., Mattar, L., 2008. Type Curves for dry CBM reservoirs with equilibrium desorption. J Can Pet Technol 47(7):48-56.

Han, G., Ling, K., Zhang, H., 2016. Smart de-watering and production system through real-time water level surveillance for Coal-Bed Methane wells. J Nat Gas Sci Eng 31:769-778.

Hsieh, FS., Vega, C., Vega, L., 2003. Reserves estimation for a coalbed methane well. J Can Pet Technol 42(11):23-28.

Jensen, D.., Smith, LK., 1997. A practical approach to coalbed methane reserve prediction using a modified material balance technique. In: Paper 9765 Presented at the 1997 International Coalbed Methane Symposium, the University of Alabama, Tuscaloosa, Alabama, 12-16 May.

Kang, J., Fu, X., Gao, L., Liang, S., 2018. Production profile characteristics of large dip angle coal reservoir and its impact on coalbed methane production: A case study on the Fukang west block, southern Junggar Basin, China. J Petrol Sci Eng 171: 99-114.

Kegang, L., Jun, H., Peng, P., Xiao, N., 2014. A new method to determine pore compressibility. In: 48th US Rock Mechanics/Geomechanics Symposium.

Kikani, J., Pedrosa, OA., 1991. Perturbation analysis of stress-sensitive reservoirs (includes associated papers 25281 and 25292). SPE Form Eval 6(03): 379-386.

King, GR., 1990. Material balance techniques for coal seam and devonian shale gas reservoirs. In: SPE Annual Technical Conference and Exhibition.

King, GR., 1990. Material-balance techniques for coal-seam and devonian shale gas reservoirs with limited water influx. SPE Reservoir Eng 8(1):67-72.

Li, R., Wang, S., Chao, W., Wang, J., Lyu, S., 2016. Analysis of the transfer modes and dynamic characteristics of reservoir pressure during coalbed methane production. Int J Rock Mech Min Sci 87:129-138.

Liu, Z., Cheng, Y., Wang, L., Wang, H., Jiang, J., Li, W., 2018. Analysis of coal permeability rebound and recovery during methane extraction: Implications for carbon dioxide storage capability assessment. Fuel 230:298-307.

Luo, DK., Dai, YJ., Xia, LY., 2011. Economic evaluation based policy analysis for coalbed methane industry in China. Energy 36(1):360-368.

Mattar, L., Mcneil, R., 1998. The "flowing" gas material balance. J Can Pet Technol 37(2):52-55.

Mavor, MJ., 1994. Formation evaluation of exploration coalbed methane wells. SPE Form Eval 9(4):285-294.

Miao, Y., Li, X., Zhou, Y., Wu, K., Chang, Y., Xiao, Z., Wu, N., Lin, W., 2018. A dynamic predictive permeability model in coal reservoirs: Effects of shrinkage behavior caused by water desorption. J Petrol Sci Eng 168:533-541.

Moore, R., Palmer, I., Higgs, N., 2015. Anisotropic model for permeability change in coalbed methane wells. SPE Reservoir Eval Eng 18(4):456-462.

Moore, TA., 2012. Coalbed methane: A review. Int J Coal Geol 101(6):36-81.

Morad, K., Clarkson, CR., 2008. Application of flowing P/Z* material balance for dry coalbed-methane reservoirs. In : SPE Gas Technology Symposium 2008 Joint Conference.

Niu, Q., Cao, L., Sang, S., Zhou, X., Wang, Z., Wu, Z., 2017. The adsorption-swelling and permeability characteristics of natural and reconstituted anthracite coals. Energy 141:2206-2217.

Pedrosa, O. A., 1986. Pressure Transient Response in Stress-Sensitive Formations. Society of Petroleum Engineers. doi:10.2118/15115-MS

Shahamat, MS., Clarkson, CR., 2018. Multiwell, multiphase flowing material balance. SPE Reservoir Eval Eng 21(2):445-461.

Shi, J., Chang, Y., Wu, S., Xiong, X., Liu, C., Feng, K., 2018a. Development of material balance equations for coalbed methane reservoirs considering dewatering process, gas solubility, pore compressibility and matrix shrinkage. Int J Coal Geol 195:200-216.

Shi, J., Wang, S., Zhang, H., Sun, Z., Hou, C., Chang, Y., Xu, Z., 2018b. A novel method for formation evaluation of undersaturated coalbed methane reservoirs using dewatering data. Fuel 229:44-52.

Shi, J., Hou, C., Wang, S., Xiong, X., Wu, S., Liu, C., 2019. The semi-analytical productivity equations for vertically fractured coalbed methane wells considering pressure propagation process, variable mass flow, and fracture conductivity decrease. J. Pet. Sci. Eng. 178: 528-543.

Sun, Z., Li, X., Shi, J., Yu, P., Huang, L., Xia, J., Sun, F., Zhang, T., Feng, D., 2017. A semi-analytical model for drainage and desorption area expansion during coal-bed methane production. Fuel 204:214-226.

Sun, Z., Shi, J., Zhang, T., Wu, K., Miao, Y., Feng, D., Sun, F., Han, S., Wang, S., Hou, C., Li, X., 2018. The modified gas-water two phase version flowing material balance equation for low permeability CBM reservoirs. J Petrol Sci Eng 165:726-735.

Wang, H., Ran, Q., Liao, X., 2017. Pressure transient responses study on the hydraulic volume fracturing vertical well in stress-sensitive tight hydrocarbon reservoirs. Int J Hydrogen Energy 42(29): 18343-18349.

Wang, S., Ma, M., Ding, W., Lin, M., Chen, S., 2015. Approximate analytical-pressure studies on dual-porosity reservoirs with stress-sensitive permeability. SPE Reservoir Eval Eng 18(04): 523-533.

Wei, XR., Wang, GX., Massarotto, P., Golding, SD., Rudolph, V., 2007. A review on recent advances in the numerical simulation for coalbed-methane-recovery process. SPE Reservoir Eval Eng 10(6):657-666.

Xu, B., Li, X., Haghighi, M., Ren, W., Du, X., Chen, D., Zhai, Y., 2013a. Optimization of hydraulically fractured well configuration in anisotropic coal-bed methane reservoirs. Fuel 107(9):859-865.

Xu, B., Li, X., Haghighi, M., Du, X., Yang, X., Chen, D., Zhai, Y., 2013b. An analytical model for desorption area in coal-bed methane production wells. Fuel 106(2):766-772.

Yarmohammadtooski, Z., Salmachi, A., White, A., 2017, Rajabi M. Fluid flow characteristics of Bandanna coal formation: a case study from Fairview field, eastern Australia. Aust J Earth Sci 64(3):319-333.

Zhao, J., Tang, D., Xu, H., Meng, Y., Lv, Y., Tao, S., 2014. A dynamic prediction model for gas-water effective permeability in unsaturated coalbed methane reservoirs based on production data. J Nat Gas Sci Eng 21:496-506.

Ziarani, AS., Aguilera, R., Clarkson, CR., 2011. Investigating the effect of sorption time on coalbed methane recovery through numerical simulation. Fuel 90(7):2428-2444.

Other Resources

Looking for more? 

Some of the OnePetro partner societies have developed subject- specific wikis that may help.


 


PetroWiki was initially created from the seven volume  Petroleum Engineering Handbook (PEH) published by the  Society of Petroleum Engineers (SPE).








The SEG Wiki is a useful collection of information for working geophysicists, educators, and students in the field of geophysics. The initial content has been derived from : Robert E. Sheriff's Encyclopedic Dictionary of Applied Geophysics, fourth edition.

  • Home
  • Journals
  • Conferences
  • Copyright © SPE All rights reserved
  • About us
  • Contact us
  • Help
  • Terms of use
  • Publishers
  • Content Coverage
  • Privacy
  Administration log in