Method for interpreting propped fracture-network parameters based on pump-stopping drop monitoring data:a case study of Well A in Weiyuan shale gas field,Sichuan Basin
|更新时间:2025-11-08
|
Method for interpreting propped fracture-network parameters based on pump-stopping drop monitoring data:a case study of Well A in Weiyuan shale gas field,Sichuan Basin
Yang Liqiang, Wang Fei, Liu Ming, et al. Method for interpreting propped fracture-network parameters based on pump-stopping drop monitoring data:a case study of Well A in Weiyuan shale gas field,Sichuan Basin[J]. Acta petrolei sinica, 2025, 46(10): 1916-1928.
Yang Liqiang, Wang Fei, Liu Ming, et al. Method for interpreting propped fracture-network parameters based on pump-stopping drop monitoring data:a case study of Well A in Weiyuan shale gas field,Sichuan Basin[J]. Acta petrolei sinica, 2025, 46(10): 1916-1928. DOI: 10.7623/syxb202510007.
Method for interpreting propped fracture-network parameters based on pump-stopping drop monitoring data:a case study of Well A in Weiyuan shale gas field,Sichuan Basin
Current fracturing monitoring and interpretation technologies face difficulties in effectively explaining the parameters of the propped fracture network. This paper presents a method for interpreting the parameters of the propped fracture network based on pump-stopping pressure drop monitoring data. The dynamics of the bottom-hole pressure drop is simulated by a model established for the pressure drop during the pump-stopping phase in a single fracturing stage
which considers the coupling effects of the proppant transport within the primary and secondary fracture networks
fluid leak-off
and fracture network closure. On this basis
pressure drop characteristic curves are plotted for different propped fracture network widths and densities. This method aids in identifying the type of propped network and establishes a process for the inversion of propped network parameters. A typical shale gas well A
located in the Weiyuan Block of Sichuan Basin
is selected for the case study. The effectiveness of the proposed method is validated by comparing it with the monitoring results of optical fiber and tracer gas production profiles. The results further demonstrate that the sand-propped fracture volume is the primary control parameter for the post-fracturing productivity of shale gas wells. Then a comparison of the interpretation results for propped fracture network parameters from two completion techniques in a fracturing interval of Well A reveals that for the casing-cemented completion
the fracture network is characterized by short and narrow main fractures
as well as wide and dense secondary fractures; the sand-propped volume ratio is higher (77 % vs. 62 %). In contrast
for the non-casing-cemented completion
the fracture network is characterized by long and wide main fractures
as well as narrow and sparse secondary fractures; the fluid propped volume ratio is higher (38 % vs. 23 %). By fully utilizing the geological characteristics of well-developed natural fractures
a larger-scale modification effect can be achieved with a smaller construction scale
thereby maximizing risk prevention and control
cost reduction
and efficiency improvement. Research indicates that the proposed method requires only fracturing construction data and wellhead pressure monitoring data after pump-stopping to provide a comprehensive and quantitative evaluation of the six core parameters of the propped fracture network.
ROBERTS G, WHITTAKER J, MCDONALD J, et al.Proppant distribution observations from 20, 000+perforation erosion measurements[R].SPE 199693, 2020.
UGUETO C G A, HUCKABEE P T, MOLENAAR M M.Challenging assumptions about fracture stimulation placement effectiveness using fiber optic distributed sensing diagnostics:diversion, stage isolation and overflushing[R].SPE 173348, 2015.
DENNEY D.Distributed acoustic sensing for hydraulic-fracturing monitoring and diagnostics[J].Journal of Petroleum Technology, 2012, 64(3):68-74.
JIN G, UGUETO G, WOJTASZEK M, et al.Novel near-wellbore fracture diagnosis for unconventional wells using high-resolution distributed strain sensing during production[J].SPE Journal, 2021, 26(5):3255-3264.
LEI Li, TAN Jingqiang, WOOD D A, et al.A review of the current status of induced seismicity monitoring for hydraulic fracturing in unconventional tight oil and gas reservoirs[J].Fuel, 2019, 242:195-210.
LIU Junrong, CAO Shijie, WU Xingru, et al.Detecting the propped fracture by injection of magnetic proppant during fracturing[J].Geophysics , 2019, 84(3):JM1-JM14.
KUMAR A, SETH P, SHRIVASTAVA K, et al.Well interference diagnosis through integrated analysis of tracer and pressure interference tests[R].URTEC 2901827, 2018.
ZANGANEH B, CLARKSON C R, HAWKES R V.Reinterpretation of fracture closure dynamics during diagnostic fracture injection tests[R].SPE 185649, 2017.
ZANGANEH B, CLARKSON C R, JONES J R.Reinterpretation of flow patterns during dfits based on dynamic fracture geometry, leakoff and afterflow[R].SPE 189840, 2018.
LIU Guoqing, EHLIG-ECONOMIDES C.Practical considerations for diagnostic fracture injection test (DFIT)analysis[J].Journal of Petroleum Science and Engineering, 2018, 171:1133-1140.
ROOSTAEI M, NOURI A, FATTAHPOUR V, et al.Numerical simulation of proppant transport in hydraulic fractures[J].Journal of Petroleum Science and Engineering, 2018, 163:119-138.
WANG Fei, LI Baoman, CHEN Qiaoyun, et al.Simulation of proppant distribution in hydraulically fractured shale network during shut-in periods[J].Journal of Petroleum Science and Engineering, 2019, 178:467-474.
STABEN M E, ZINCHENKO A Z, DAVIS R H.Erratum:"motion of a particle between two parallel plane walls in low-Reynolds-number Poiseuille flow" [Phys.Fluids 15, 1711 (2003)][J].Physics of Fluids, 2004, 16(11):4206.
SHARMA M M.Advanced fracturing technology for tight gas:an east Texas field demonstration[R].Texas:University of Texas, 2005.
SANO O, HASIMOTO H.The effect of two plane walls on the motion of a small sphere in a viscous fluid[J].Journal of Fluid Mechanics, 1978, 87(4):673-694.
MCCABE W L, SMITH J C, HARRIOTT P.Unit operations of chemical engineering[M].New York:McGraw-hill, 1967.
HUANG Xuemin, WANG Jingyi, CHEN Shengnan, et al.A simple dilation-recompaction model for hydraulic fracturing[J].Journal of Unconventional Oil and Gas Resources, 2016, 16:62-75.
WANG Fei, PAN Ziqing, ZHANG Yichi, et al.Simulation of coupled hydro-mechanical-chemical phenomena in hydraulically fractured gas shale during fracturing-fluid flowback[J].Journal of Petroleum Science and Engineering, 2018, 163:16-26.
MEYER B R, BAZAN L W.A discrete fracture network model for hydraulically induced fractures-theory, parametric and case studies[R].SPE 140514, 2011.
AGUILERA R.Recovery factors and reserves in naturally fractured reservoirs[J].Journal of Canadian Petroleum Technology, 1999, 38(7):15-18.
BOURDET D, AYOUB J A, PLRARD Y M.Use of pressure derivative in well-test interpretation[J].SPE Formation Evaluation, 1989, 4(2):293-302.
Phase analysis of shale gas occurrence based on carbon isotope fractionation and reservoir properties:a case study of the marine-terrestrial transitional shale in Member 2 of Shanxi Formation, Ordos Basin
Mechanisms and differences of self-sealing in shale gas reservoirs of Longmaxi Formation in Sichuan Basin
Evaluation method of recoverable reserves of single well in undeveloped area of shale gas
Q uantitative characterization and microscopic occurrence mechanism of pore water in shale matrix
Application of pre-stack prediction method of shale gas based on petrophysical analysis in Weiyuan area of the southern Sichuan Basin
Related Author
Zhang Qin
Liu Yu
Qiu Zhen
Liu Wen
Kong Weiliang
Pang Zhenglian
Gao Wanli
Cai Guangyin
Related Institution
PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China
National Energy Shale Gas Research and Development (Experiment)Center, Hebei Langfang 065007, China
CNPC Key Laboratory of Coal-rock Gas, Hebei Langfang 065007, China
College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
PetroChina Coalbed Methane Company Limited, Beijing 100028, China