A new mathematical model considering adsorption and desorption process for productivity prediction of volume fractured horizontal wells in shale gas reservoirs

Yu, Su; Chen, Hao; Yang, Shenglai; Guo, Xuyang; Zhou, Changsha; Fang, Baihui; Zhou, Feng; Yang, Jin

doi:10.1016/j.jngse.2014.05.009

Cited by 56 publications

(20 citation statements)

References 11 publications

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“…But the model did not consider some key flow mechanisms for shale gas. Sang et al (2014) presented an improved trilinear model for productivity prediction of volume fractured horizontal wells considering desorption and adsorption process. The SRV is always very complex after fracturing and refracturing.…”

Section: Introductionmentioning

confidence: 99%

Production performance analysis for composite shale gas reservoir considering multiple transport mechanisms

Guo

Wei

et al. 2015

Journal of Natural Gas Science and Engineering

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Section: Introductionmentioning

confidence: 99%

Production performance analysis for composite shale gas reservoir considering multiple transport mechanisms

Guo

Wei

et al. 2015

Journal of Natural Gas Science and Engineering

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“…Ozkan et al (2009) and Brown et al (2011) presented the tri-linear model and studied the performance of MFHW in unconventional oil and gas reservoirs, assuming that the SRV between the hydraulic fractures are described as dual-porosity mediums and linear flow existed in hydraulic fractures and formation. Sang et al (2014) introduced the adsorption and desorption process into the tri-linear model to predict the production of MFHW in shale gas reservoirs. Stalgorova and Mattar (2012) and Wang et al (2017) improved the tri-linear model to a five-linear model by simplifying stimulated reservoir volume in a region with limited width.…”

Section: Analytical and Semi-analytical Methodsmentioning

confidence: 99%

A review of stimulated reservoir volume characterization for multiple fractured horizontal well in unconventional reservoirs

Wang¹,

Zheng²,

Sheng³

et al. 2017

Adv. Geo-Energ. Res.

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Unconventional resource exploration has boosted U.S. oil and gas production, which is successfully by horizontal well drilling and hydraulic fracturing. The horizontal well with multiple transverse fractures has proven to be effective stimulation approach could increase reservoir contact significantly. Unlike the single fracture planes in typical low permeability sands, fractures in shales tends to generate more complex, branching networks. The concept of stimulated reservoir volume (SRV) was developed to quantitative measure of multistage fracture interact with natural fractures in unconventional reservoir. However, the simple fracture modeling of the past do not suitable for the complex scenarios simulation. This paper reviews the mainstream characterization method of stimulated reservoir volume in shale reservoirs, including microseismic interpretation, rate transient analysis method, analytical and semi-analytical method and numerical method. Finally, the systematic evaluation of application conditions with respect to each method and further research directions for characterization method are proposed.

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“…The addressed mathematical models were applied to two case studies based on Marcellus shale play, in which on-site treatment techniques of wastewater gained importance in generating freshwater storage. Sang et al [18] discussed a numerical optimization model of desorption and adsorption processes for hydraulic fracturing stimulations that was optimized by assuming polar co-ordinate and balance space, respectively. To estimate the receptacle volume of drilled horizontal shale well reservoirs, Gao and You [19] addressed a practical framework for the optimal flow of shale energy networks.…”

Section: Introductionmentioning

confidence: 99%

Neutrosophic Optimization Model and Computational Algorithm for Optimal Shale Gas Water Management under Uncertainty

2019

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Shale gas energy is the most prominent and dominating source of power across the globe. The processes for the extraction of shale gas from shale rocks are very complex. In this study, a multiobjective optimization framework is presented for an overall water management system that includes the allocation of freshwater for hydraulic fracturing and optimal management of the resulting wastewater with different techniques. The generated wastewater from the shale fracking process contains highly toxic chemicals. The optimal control of a massive amount of contaminated water is quite a challenging task. Therefore, an on-site treatment plant, underground disposal facility, and treatment plant with expansion capacity were designed to overcome environmental issues. A multiobjective trade-off between socio-economic and environmental concerns was established under a set of conflicting constraints. A solution method—the neutrosophic goal programming approach—is suggested, inspired by independent, neutral/indeterminacy thoughts of the decision-maker(s). A theoretical computational study is presented to show the validity and applicability of the proposed multiobjective shale gas water management optimization model and solution procedure. The obtained results and conclusions, along with the significant contributions, are discussed in the context of shale gas supply chain planning policies over different time horizons.

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A new mathematical model considering adsorption and desorption process for productivity prediction of volume fractured horizontal wells in shale gas reservoirs

Cited by 56 publications

References 11 publications

Production performance analysis for composite shale gas reservoir considering multiple transport mechanisms

Production performance analysis for composite shale gas reservoir considering multiple transport mechanisms

A review of stimulated reservoir volume characterization for multiple fractured horizontal well in unconventional reservoirs

Neutrosophic Optimization Model and Computational Algorithm for Optimal Shale Gas Water Management under Uncertainty

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