Prediction of decline in shale gas well production using stable carbon isotope technique

Shengxian ZHAO, Shujuan KANG, Majia ZHENG, Shuangfang LU, Yunfeng YANG, Huanxu ZHANG, Yongyang LIU, Ziqiang XIA, Chenglin ZHANG, Haoran HU, Di ZHU

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Front. Earth Sci. ›› 2021, Vol. 15 ›› Issue (4) : 849-859. DOI: 10.1007/s11707-021-0935-4
RESEARCH ARTICLE

Prediction of decline in shale gas well production using stable carbon isotope technique

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Abstract

Prediction of shale gas production is a challenging task because of the complex fracture-pore networks and gas flow mechanisms in shale reservoirs. Empirical methods, which are used in the industry to forecast the future production of shale gas, have not been assessed sufficiently to warrant high confidence in their results. Methane carbon isotopic signals have been used for producing gas wells, and are controlled by physical properties and physics-controlling production; they serve as a unique indicator of the gas production status. Here, a workable process, which is combined with a gas isotope interpretation tool (also known as a numerical simulator), has been implemented in Longmaxi shale gas wells to predict the production decline curves. The numerical simulator, which takes into account a convection-diffusion-adsorption model for the matrix and a convection model for fractures in 13CH4 and 12CH4 isotopologues, was used to stabilize the carbon isotope variation in the produced gas to elucidate gas recovery. Combined with the production rates of the four developing wells, the total reserves ranged from 1.72 × 108 to 2.02 × 108 m3, which were used to constrain the trend of two-segment production decline curves that exhibited a transition from a hyperbolic equation to an exponential one within 0.82–0.89 year. Two-segment production decline curves were used to forecast future production and estimate ultimate recovery.

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Keywords

shale gas / production decline / Longmaxi formation / carbon isotope

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Shengxian ZHAO, Shujuan KANG, Majia ZHENG, Shuangfang LU, Yunfeng YANG, Huanxu ZHANG, Yongyang LIU, Ziqiang XIA, Chenglin ZHANG, Haoran HU, Di ZHU. Prediction of decline in shale gas well production using stable carbon isotope technique. Front. Earth Sci., 2021, 15(4): 849‒859 https://doi.org/10.1007/s11707-021-0935-4

References

[1]
Arps J J (1945). Analysis of decline curves. Transactions of the AIME, 160(01): 228–247
CrossRef Google scholar
[2]
Baihly J D, Altman R M, Malpani R, Luo F (2010). Shale gas production decline trend comparison over time and basins. In: SPE Annual Technical Conference and Exhibition, SPE-135555-MS
CrossRef Google scholar
[3]
Beskok A, Karniadakis G E (1999). A model for flows in channels, pipes, and ducts at micro and nano scales. Microscale Thermophysical Engineering, 3(1): 43–77
CrossRef Google scholar
[4]
Bruner F, Cartoni G P, Liberti A (1966). Gas chromatography of isotopic molecules on open tubular columns. Anal Chem, 38(2): 298–303
CrossRef Google scholar
[5]
Cao G H, Zhang H X, Jiang W B, Wu S, Zhu D, Lin M (2019). A new gas-content-evaluation method for organic-rich shale using the fractionation of carbon isotopes of methane. SPE J, 24(06): 2574–2589
CrossRef Google scholar
[6]
Dongari N, Sambasivam R, Durst F (2009). Extended Navier-Stokes equations and treatments of micro-channel gas flows. J Fluid Sci Tech, 4(2): 454–467
CrossRef Google scholar
[7]
Currie S M, Ilk D, Blasingame T A (2010). Continuous estimation of ultimate recovery. In: SPE Unconventional Gas Conference, SPE-132352-MS
CrossRef Google scholar
[8]
Duong A N (2011). Rate-decline analysis for fracture-dominated shale reservoirs. SPE Reservoir Eval Eng, 14(03): 377–387
CrossRef Google scholar
[9]
Freeman C M, Moridis G J, Blasingame T A (2011). A numerical study of microscale flow behavior in tight gas and shale gas reservoir systems. Transp Porous Media, 90(1): 253–268
CrossRef Google scholar
[10]
Gao L, Wu S, Deev A, Olson R, Mosca F, Zhang S, Ni Y, Qu Q, LaFollette R, Chen G, Tang Y (2017). The gas isotope interpretation tool: a novel method to better predict production decline. AAPG Bull, 101(08): 1263–1275
CrossRef Google scholar
[11]
Gasparik M, Bertier P, Gensterblum Y, Ghanizadeh A, Krooss B M, Littke R (2014). Geological controls on the methane storage capacity in organic-rich shales. Int J Coal Geol, 123: 34–51
CrossRef Google scholar
[12]
Ilk D, Anderson D M, Stotts W J, Mattar L, Blasingame T A A (2010). Production-date analysis—challenges, pitfalls diagostics. SPE Reservoir Eval Eng, 13(3): 538–552
CrossRef Google scholar
[13]
Ilk D, Rushing J A, Perego A D, Blasingame T A (2008). Exponential vs. hyperbolic decline in tight gas sands: understanding the origin and implications for reserve estimates using Arps’ decline curves. In: SPE Annual Technical Conference and Exhibition, SPE-116731-MS
CrossRef Google scholar
[14]
Javadpour F, Fisher D, Unsworth M (2007). Nanoscale gas flow in shale gas sediments. J Can Pet Technol, 46(10): 55–61
CrossRef Google scholar
[15]
Joshi K, Lee W J (2013). Comparison of various deterministic forecasting techniques in shale gas reservoirs. In: SPE Hydraulic Fracturing Technology Conference, SPE-163870-MS
CrossRef Google scholar
[16]
Kanfar M S, Wattenbarger R A (2012). Comparison of empirical decline curve methods for shale wells. In: SPE Canadian Unconventional Resources Conferences, SPE-162648-MS
CrossRef Google scholar
[17]
Lee W J, Sidle R (2010). Gas-reserves estimation in resource plays. SPE Econ Manage, 2(2): 86–91
CrossRef Google scholar
[18]
Li K, Meng Z Y, Ji J, Zheng X W, Zhang Q, Zhou W (2018). Characteristics and influencing factors of desorption gas in Wufeng-Longmaxi formations in Fuling area, Sichuan Basin. Petrol Geo Exper, 40(1): 90–96 (in Chinese)
CrossRef Google scholar
[19]
Li W B, Lu S F, Li J Q, Zhang P F, Wang S Y, Feng W J, Wei Y B (2020). Carbon isotope fractionation during shale gas transport: mechanism, characterization and significance. Sci China Earth Sci, 63: 674–689
CrossRef Google scholar
[20]
Li W B, Lu S F, Li J Q, Wei Y B, Feng W J, Zhang P F, Song Z J (2021). Geochemical modeling of carbon isotope fractionation during methane transport in tight sedimentary rocks. Chem Geol, 566: 120033
CrossRef Google scholar
[21]
Lilley C R, Sader J E (2008). Velocity profile in the Knudsen layer according to the Boltzman equation. Proc R Soc Lond A Math Phy Sci, 464(2096): 2015–2035
CrossRef Google scholar
[22]
Ma X H, Xie J, Yong R, Zhu Y Q (2020). Geological characteristics and high production control factors of shale gas reservoirs in Silurian Longmaxi Formation, southern Sichuan Basin, SW China. Pet Explor Dev, 47(5): 901–915
CrossRef Google scholar
[23]
Mahmoud O, Ibrahim M, Pieprzica C, Larsen S (2018). EUR prediction for unconventional reservoirs: state of the art and field case. In: SPE Trinidad and Tobago Section Energy Resources Conference, SPE-191160-MS
CrossRef Google scholar
[24]
Meyet M, Dutta R, Burns C (2013). Comparison of decline curve analysis methods with analytical models in unconventional plays. In: SPE Annual Technical Conference and Exhibition, SPE-166365-MS
CrossRef Google scholar
[25]
Mishra S (2012). A new approach to reserves estimation in shale gas reservoirs using multiple decline curve analysis models. In: SPE Eastern Regional Meeting, SPE-161092-MS
CrossRef Google scholar
[26]
Moinfar A, Erdle J C, Patel K (2016). Comparison of numerical vs analytical models for EUR calculation and optimization in unconventional reservoirs. In: SPE Low Perm Symposium, SPE-180209-MS
CrossRef Google scholar
[27]
Okouma V, Symmons D, Hosseinpour-Zonoozi N, Ilk D, Blasingame T A (2012). Practical considerations for decline curve analysis in unconventional reservoirs—application of recently developed time-rate relations. In: SPE Hydrocarbon, Economics, and Evaluation Symposium, SPE-162910-MS
CrossRef Google scholar
[28]
Qin H, Fan X J, Liu M, Hao J Y, Liang B (2017). Carbon isotope reversal of desorbed gas in Longmaxi shale of Jiaoshiba area, Sichuan Basin. Petrol Res, 2(2): 169–177
CrossRef Google scholar
[29]
Robertson S (1988). Generalized Hyperbolic Equation. Society of Petroleum Engineers, SPE-18731-MS
[30]
Seshadri J N, Mattar L (2010). Comparison of power law and modified hyperbolic decline methods. In: SPE Canadian Unconventional Resources and International Petroleum Conference, SPE-137320-MS
CrossRef Google scholar
[31]
Society of Petroleum Evaluation Engineers (SPEE) (2016). Monograph 4: Estimating ultimate recovery of developed wells in unconventional reservoirs
[32]
Taghavinejad A, Sharifi M, Heidaryan E, Liu K, Ostadhassan M (2020). Flow modeling in shale gas reservoirs: a comprehensive review. J Nat Gas Sci Eng, 83: 103535
CrossRef Google scholar
[33]
Tan L, Zuo L H, Wang B B (2018). Methods of decline curve analysis for shale gas reservoirs. Energies, 11(3): 552–569
CrossRef Google scholar
[34]
Tang X, Ripepi N, Stadie N P, Yu L J (2017). Thermodynamic analysis of high pressure methane adsorption in Longmaxi Shale. Fuel, 193: 411–418
CrossRef Google scholar
[35]
Tian H, Li T F, Zhang T W, Xiao X M (2016). Characterization of methane adsorption on overmature Lower Silurian–Upper Ordovician shales in Sichuan Basin, southwest China: experimental results and geological implications. Int J Coal Geol, 156: 36–49
CrossRef Google scholar
[36]
U.S. Energy Information Administration (EIA) (2015). Technically Recoverable Shale Oil and Shale Gas Resources: Brazil. Washington DC
[37]
Valko P P (2009). Assigning value to stimulation in the Barnett shale: a simultaneous analysis of 7000 plus production histories and well completion records. In: SPE Hydraulic Fracturing Technology Conference, SPE-119369-MS
CrossRef Google scholar
[38]
van Hook W A (1967). Isotope effects on vaporization from the adsorbed state: methane system. J Phys Chem, 71(10): 3270–3275
CrossRef Google scholar
[39]
Wang L, Torres A, Xiang L, Fei X, Naido A, Wu W (2015). A technical review on shale gas production and unconventional reservoirs modeling. Nat Resour, 6(03): 141–151
CrossRef Google scholar
[40]
Wang H, Chen L, Qu Z, Yin Y, Kang Q, Yu B, Tao W Q (2020). Modeling of multi-scale transport phenomena in shale gas production—a critical review. Appl Energy, 262: 114575
CrossRef Google scholar
[41]
Xia X Y, Tang Y C (2012). Isotope fractionation of methane during natural gas flow with coupled diffusion and adsorption/desorption. Geochim Cosmochim Acta, 77: 489–503
CrossRef Google scholar
[42]
Yang Z H, Wei Z H, He W B, Fan M, Yu L J, Xu E S, Qian M H (2017). Characteristics and significance of on-site gas desorption from Wufeng-Longmaxi shales in southeastern Sichuan Basin. Nat Gas Geosci, 28(1): 156–163 in Chinese)
CrossRef Google scholar
[43]
Yu S Y, Wang X X, Li S H, Liu Y M, Xiao L M, Liu X, Zhao W, Zhang J E (2021). Impact of geological factors on marine shale gas enrichment and reserve estimation: a case study of Jiaoshiba area in Fuling gas field. Geofluids, 2021: 6637360
CrossRef Google scholar
[44]
Zhang H, Rietz D, Cagle A, Cocco M, Lee J (2016). Extended exponential decline curve analysis. J Nat Gas Sci Eng, 36: 402–413
CrossRef Google scholar
[45]
Zhang M J, Tang Q Y, Cao C H, Lv Z, Zhang T, Zhang D, Li Z, Du L (2018). Molecular and carbon isotopic variation in 3.5 years shale gas production from Longmaxi Formation in Sichuan Basin, China. Mar Pet Geol, 89: 27–37
CrossRef Google scholar
[46]
Zhang T W, Krooss B M (2001). Experimental investigation of the carbon isotope fractionation of methane during gas migration by diffusion through sedimentary rocks at elevated temperature and pressure. Geochim Cosmochim Acta, 65(16): 2723–2742
CrossRef Google scholar
[47]
Zhang W M, Meng G, Wei X (2012). A review on slip models for gas microflows. Microfluid Nanofluidics, 13(6): 845–882
CrossRef Google scholar
[48]
Ziarani A S, Aguilera R (2012). Knudsen’s permeability correction for tight porous media. Transp Porous Media, 91(1): 239–260
CrossRef Google scholar
[49]
Zou C, Zhao Q, Cong L Z, Wang H Y, Shi Z S, Wu J, Pang S Q (2021). Development progress, potential and prospect of shale gas in China. Natural Gas Indust, 41(1): 1–14 in Chinese)
CrossRef Google scholar
[50]
Zuo L H, Yu W, Wu K (2016). A fractional decline curve analysis model for shale gas reservoirs. Int J Coal Geol, 163: 140–148
CrossRef Google scholar

Acknowledgments

We are indebted to Prof. Rixiang Zhu for his unremitting support and encourage during this work. We thank Dr. Gaohui Cao for help in technical assistance of the isotope fractionation model and numerical model calculation, also, Prof. Biao Jin, Kun He and Qisheng Ma for their insightful scientific comments and language improvements that significantly enhanced the quality of the original manuscript. This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA14050201).

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