ESRV and Production Optimization for the Naturally Fractured Keshen Tight Gas Reservoir

Qu, Hai; Zhou, Fujian; Peng, Yan; Pan, Zhejun

doi:10.1007/978-981-10-7560-5_144

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Qu et al [5] Predict production model. An integrated multiphysical model was developed to optimize the ESRV and predict the production.…”

Section: Srvmentioning

confidence: 99%

“…Material exchange occurs between the matrix system and the effective fracture network system through the cross-flow equation. (5) The effective fracture network system is an elastic porous medium, and assuming that its compressibility is much greater than that of the shale matrix, the tree-shaped fractal fracture permeability and effective fracture volume are pressure-dependent variables. As shown in Figure 1, the flow rate of rectangular fractures at level k of 1/2 singlecluster tree-shaped fractal fracture network is described by Equation (1) according to the Hagen-Poiseuille equation:…”

Section: The Model Of Two-phase Flow Backmentioning

confidence: 99%

“…Reservoir stimulation volumes are overestimated or underestimated due to the occurrence of non-contributing microseismic events and the natural fractures [4]. A relatively new concept used to quantify the actual reservoir stimulated volume is the effective reservoir stimulated volume (ESRV) [5,6]. The ESRV is critical for estimating ultimate recovery, stimulated volume, optimal fracture length, and spacing.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Inversion Method of Shale Gas Effective Fracture Network Volume Based on Flow Back Data—A Case Study of Southern Sichuan Basin Shale

Tang,

Wu,

Zhao

et al. 2024

Processes

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Fracture network fracturing is pivotal for achieving the economical and efficient development of shale gas, with the connectivity among fracture networks playing a crucial role in reservoir stimulation effectiveness. However, flow back data that reflect fracture network connectivity information are often ignored, resulting in an inaccurate prediction of the effective fracture network volume (EFNV). The accurate calculation of the EFNV has become a key and difficult issue in the field of shale fracturing. For this reason, the accurate shale gas effective fracture network volume inversion method needs to be improved. Based on the flow back characteristics of fracturing fluids, a tree-shaped fractal fracture flow back mathematical model for inversion of EFNV was established and combined with fractal theory. A genetic algorithm workflow suitable for EFNV inversion of shale gas was constructed based on the flow back data after fracturing, and the fracture wells in southern Sichuan were used as an example to carry out the EFNV inversion. The reliability of the inversion model was verified by testing production, cumulative gas production, and microseismic results. The field application showed that the inversion method proposed in this paper can obtain tree-shaped fractal fracture network structure parameters, fracture system original pressure, matrix gas breakthrough pressure, fracture compressibility coefficient, reverse imbibition index, equivalent main fracture half length, and effective initial fracture volume (EIFV). The calculated results of the model belong to the same order of magnitude as those of the HD model and Alkouh model, and the model has stronger applicability. This research has important theoretical guiding significance and field application value for improving the accuracy of the EFNV calculation.

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“…Qu et al [5] Predict production model. An integrated multiphysical model was developed to optimize the ESRV and predict the production.…”

Section: Srvmentioning

confidence: 99%

Section: The Model Of Two-phase Flow Backmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Inversion Method of Shale Gas Effective Fracture Network Volume Based on Flow Back Data—A Case Study of Southern Sichuan Basin Shale

Tang,

Wu,

Zhao

et al. 2024

Processes

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show abstract

Numerical simulation method for multi-stage hydraulic fracturing based on modified dilation-recompaction model

Chen

Zhan

2022

Arab J Geosci

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A mathematical model for estimating effective stimulated reservoir volume

Ibrahim

Negash

Rahman

et al. 2021

J Petrol Explor Prod Technol

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This study presents a model application for the evaluation of Effective Stimulated Reservoir Volume (ESRV) in shale gas reservoirs. This current model is faster, cheaper, and readily available for estimating ESRV compared to previously published models. Key controlling parameters for efficient ESRV modeling, including geomechanical parameters and time, are considered for the model development. The model was validated for both single and multi-stage fractured reservoirs. For the single fractured reservoir, an ESRV of 3.07 × 106 ft3 was estimated against 3.99 × 106 ft3 of ESRV-FEM field data. Whereas, 7.00 × 109 ft3 ESRV was estimated from the multi-stage fractured reservoir against 7.90 × 109 ft3 of fractal-based model results. Stress dependence, time dependence, and permeability dependence of shale gas reservoirs are found to be essential parameters for the successful calculation of ESRV in reservoirs. An ESRV determined using this method can obtain the estimated ultimate recovery, propped volume, optimal fracture length, and spacing in fractured shale gas reservoirs.

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ESRV and Production Optimization for the Naturally Fractured Keshen Tight Gas Reservoir

Cited by 4 publications

References 15 publications

The Inversion Method of Shale Gas Effective Fracture Network Volume Based on Flow Back Data—A Case Study of Southern Sichuan Basin Shale

The Inversion Method of Shale Gas Effective Fracture Network Volume Based on Flow Back Data—A Case Study of Southern Sichuan Basin Shale

Numerical simulation method for multi-stage hydraulic fracturing based on modified dilation-recompaction model

A mathematical model for estimating effective stimulated reservoir volume

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