An Analytical Model for History Matching Naturally Fractured Reservoir Production Data

Watson, A. T.; Gatens, J.M.; Lee, W. John; Rahim, Zillur

doi:10.2118/18856-pa

Cited by 22 publications

(4 citation statements)

References 15 publications

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“…The dual-media model is widely used in the characterization of porous media (Warren and Root 1963;De 1976;Su et al 2016a, b). It is found that the porous media is mainly composed of fractures and matrix, which is also a widely recognized and adopted continuum model.…”

Section: Multi-scale Media Model and Domain Divisionmentioning

confidence: 99%

“…As research scholars continue to study shale gas transport laws in the subsurface, the analytical method can better describe the transport mechanisms in different stages of shale gas development. Based on the equivalent continuous media model, many scholars defined the relationship among artificial fractures, secondary extension fractures, natural fractures, inorganic matrix, and organic kerogen matrix in shale reservoirs (Warren and Root 1963;De 1976;Watson et al 1990;Wu et al 2009;Swami and Settari 2012;Urban et al 2017;Guo and Yang 2019;Mohamed et al 2021). They discovered the existence of gas-water two-phase flow, trilinear, and five-linear flow patterns between different flow regions (Bello and Wattenbarger 2010;Brown et al 2009;Ozkan et al 2010;Brohi et al 2011;Ozkanet et al 2011;Stalgorova and Mattar 2012a, b;Yin et al 2015;Zhang et al 2015;Fan and Ettehadtavakkol 2016;Su et al 2016a, b;Zeng et al 2019;Liu et al2020;Behmanesh et al 2021).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Review of the productivity evaluation methods for shale gas wells

Huang,

Li,

Liu

et al. 2023

J Petrol Explor Prod Technol

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The influence of geological and engineering factors results in the complex production characteristics of shale gas wells. The productivity evaluation method is effective to analyze the production decline law and estimate the ultimate recovery in the shale gas reservoir. This paper reviews the production decline method, analytical method, numerical simulation method, and machine learning method. which analyzes the applicable conditions, basic principles, characteristics, and limitations of different methods. The research found that the production decline method can mainly account for the gas well production and pressure data by fitting type curve analysis. The analytical method is able to couple multiple transport mechanisms and quantify the impact of different mechanisms on shale gas well productivity. Numerical simulation builds multiple pore media in shale gas reservoirs and performs production dynamics as well as capacity prediction visually. Machine learning methods are a nascent approach that can efficiently use available production data from shale gas wells to predict productivity. Finally, the research discusses the future directions and challenges of shale gas well productivity evaluation methods.

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Section: Multi-scale Media Model and Domain Divisionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review of the productivity evaluation methods for shale gas wells

Huang,

Li,

Liu

et al. 2023

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

show abstract

“…Reservoir numerical simulation study was put forward in the middle of the 20 th century. Watson, et al used ideal dual porosity medium model to do numerical simulation of shale capacity [11]. Bustin studied the effects of crack spacing and matrix diffusion on shale capacity [12].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Well Wall Stress Distribution Model and Well Stability

Liang¹,

Yuan²,

Liu³

et al. 2016

TOCIEJ

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Horizontal well has gained increasing importance in oil and gas development. Thus stress distribution models around the horizontal well attract more people than earlier. In the last few years, a lot of stress distribution models have been proposed by domestic and international scholars. Through numerical simulation analysis, the differences between five models have been analyzed. The classic model suits for qualitative characterization. Using D-P principle to judge well wall stability of different models instructs that the differences between models decrease with the increase of stability factor.

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“…Watson et al (1990) performed a history match of the production data of a naturally fractured gas reservoir. In their method a normalized time was used to modify the analytical solutions to model gas flow in finite, dual-porosity reservoirs.…”

Section: Introductionmentioning

confidence: 99%