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Journal ArticleDOI

Numerical Modeling of Coupled Fluid Flow and Geomechanical Stresses in a Petroleum Reservoir

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TLDR
In this article, a fully coupled hydro and geomechanical model has been used to predict the transient pressure disturbance, reservoir deformation, and effective stress distribution in both homogeneous and heterogeneous reservoirs.
Abstract
\n A fully coupled hydro and geomechanical model has been used to predict the transient pressure disturbance, reservoir deformation, and effective stress distribution in both homogeneous and heterogeneous reservoirs. The heterogeneous reservoir is conceptualized by explicitly considering the spatial distributions of porosity and permeability as against assuming it as constant values. The finite element method was used in the coupled model in conjunction with the poroelasticity. Transient pressure disturbance is significantly influenced by the overburden during the production in both homogeneous and heterogeneous reservoirs for all the perforation schemes. Perforation scheme 2 provides the optimum reservoir performance when compared with other three schemes in terms of transient pressure distribution and reservoir subsidence. It also has the ability to overcome both the water and gas coning problems when the reservoir fluid flow is driven by both gas cap and water drive mechanisms. A Biot–Willis coefficient is found to significantly influence both the pressure and stress distribution right from the wellbore to the reservoir boundary. Maximum effective stresses have been generated in the vicinity of the wellbore in the reservoir at a high Biot–Willis coefficient of 0.9. Thus, the present work clearly projects that a Biot–Willis coefficient of 0 cannot be treated to be a homogeneous reservoir by default, while the coupled effect of hydro and geomechanical stresses plays a very critical role. Therefore, the implementation of the coupled hydro and geomechanical numerical models can improve the prediction of transient reservoir behavior efficiently for the simple and complex geological systems effectively.

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Journal ArticleDOI

Numerical investigations on a geothermal reservoir using fully coupled thermo-hydro-geomechanics with integrated RSM-machine learning and ARIMA models

TL;DR: In this article, an integrated machine learning (ML)-response surface model (RSM)-autoregressive integrated moving average (ARIMA) model was used to enhance the heat production from a geothermal reservoir.
Journal ArticleDOI

Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling

TL;DR: In this paper , an improved mathematical model for the fully coupled thermo-hydro-geomechanical model was proposed to examine the variations in the Puga geothermal reservoir at between 4500 m from the surface with three, four, and seven hydraulic fractures in the reservoir along with four-spot, five-spot and seven-spot well patterns.
Journal ArticleDOI

Artificial Neural Network to Predict the Thermal Drawdown of Enhanced Geothermal System

TL;DR: In this article, an ANN architecture composed of eight hidden layers and 20 neurons in the hidden layer was used to predict the thermal drawdown of an EGS system with a satisfactory range (R2 > 0.99).
Journal ArticleDOI

Comparison of supercritical co2 with water as geofluid in geothermal reservoirs with numerical investigation using fully coupled thermo-hydro-geomechanical model

TL;DR: In this paper , a fully coupled dynamic thermo-hydro-mechanical (THM) model was employed to investigate the advantage and disadvantages of supercritical CO2 over water as geofluids.
Journal ArticleDOI

Probabilistic analysis of land subsidence due to pumping by Biot poroelasticity and random field theory

TL;DR: In this article , the probabilistic analysis of land subsidence due to pumping is performed by Biot's poroelasticity and random field theory based on a case study.
References
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Proceedings ArticleDOI

Coupled fluid flow and geomechanics in reservoir study. I. Theory and governing equations

TL;DR: In this paper, the authors examine Biot's two-phase (fluid and rock), isothermal, linear poroelastic theory from the conventional porous fluid-flow modeling point of view.
Journal ArticleDOI

Coupled thermo-hydro-mechanical modeling on well pairs in heterogeneous porous geothermal reservoirs

TL;DR: In this paper, a fully coupled modeling of reservoir deformation, fluid flow, and heat transport was performed on each realization using the finite element method, and the results showed that heterogeneity induced channeling appears in the geothermal reservoirs with increasing heterogeneity of permeability, through which the injected production can quickly reach the production well.
Journal ArticleDOI

Integrated hydro-mechanical and seismic modelling of the Valhall reservoir: A case study of predicting subsidence, AVOA and microseismicity

TL;DR: In this article, the authors combined geomechanical, fluid-flow and seismic modelling to predict surface subsidence, seismic anisotropy and microseismicity for the Valhall reservoir, North Sea.
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