Petrel2ANSYS: Accessible software for simulation of crustal stress fields using constraints provided by multiple 3D models employing different types of grids

Liu, Yuyang; Mao, Pan; Liu, Shiqi

doi:10.1007/s11771-019-4186-4

Cited by 12 publications

(3 citation statements)

References 31 publications

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“…By defining the related constraints with respect to displacements or boundary loads, it is possible to use FEM to simulate the 3D in situ stress distribution [32,33] and, through multiple inversions of the constraints at known target points through specific mathematical models [1] or artificial neural network, obtain the more probable distribution of the 3D in situ stress. e finite element in situ stress model is usually used for the numerical simulation of reservoirs, pattern arrangement of wells, and hydraulic fracture simulation.…”

Section: Overall Procedural Designmentioning

confidence: 99%

“…For oil and gas reservoirs, which have complicated structures, great burial depths, and high heterogeneous attributes, modeling is always related to some geological statics algorithms; it may not establish a sufficiently accurate 3D model with FEM software for the reservoir scale [25,30,31]. Some studies also report these problems [32,33], and approaches have been implemented to resolve these obstacles [34].…”

Section: Introductionmentioning

confidence: 99%

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Finite Element Simulation of Oil and Gas Reservoir In Situ Stress Based on a 3D Corner-point Grid Model

Liu

Mao

2020

Mathematical Problems in Engineering

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A three-dimensional (3D) corner-point grid model gives a relatively accurate description of the structural properties and spatial distribution of oil and gas reservoirs than Cartesian grids. The finite element simulation of the stress field provides a relatively probable presentation of the in situ stress distribution. Both methods are of great importance to the exploration and development of oil and gas fields. Implementing the finite element simulation of in situ stress on a 3D corner-point grid model not only retains the structural attributes of a reservoir but also allows the accurate simulation of the 3D stress distribution. In this paper, we present a method for implementing the finite element simulation of in situ stress based on a 3D corner-point grid model. We first established a fine 3D reservoir model with corner-point grids and then converted the grids into corresponding 3D finite element grid models using a grid conversion algorithm. Next, we simulated the in situ stress distribution with the finite element method. The stress model is then resampled to corresponding corner-point grid geological models using the reverse algorithm. The grid conversion algorithm is to provide data support for the subsequent numerical simulation and other research efforts, thereby guaranteeing procedure continuity and data consistency. Finally, we simulated the stress distribution of a real oil field, the X region. Comparing the simulated result with the measured result, the high agreement validated the effectiveness and accuracy of the proposed method.

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Section: Overall Procedural Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Finite Element Simulation of Oil and Gas Reservoir In Situ Stress Based on a 3D Corner-point Grid Model

Liu

Mao

2020

Mathematical Problems in Engineering

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“…With continuous progress in oil and gas exploration and development theory, domestic and international oil and gas exploration and development have gradually developed from conventional to unconventional resources (Aguilera, 2018;Guo et al, 2018;Liu et al, 2019a;Stephen et al, 2020;Wang et al, 2015). Meanwhile, the world's oil and gas exploration and development turn to deeper, more complex and more challenging unconventional oil and gas fields with more complex enhanced oil and gas recovery approaches than those applied to conventional sources (Liu et al, 2019b(Liu et al, , 2020Wei et al, 2020;Zhang et al, 2020;Zhong et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

A reservoir quality evaluation approach for tight sandstone reservoirs based on the gray correlation algorithm: A case study of the Chang 6 layer in the W area of the as oilfield, Ordos Basin

Liu

Zhang

Shi

et al. 2021

Energy Exploration & Exploitation

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As an important type of unconventional hydrocarbon, tight sandstone oil has great present and future resource potential. Reservoir quality evaluation is the basis of tight sandstone oil development. A comprehensive evaluation approach based on the gray correlation algorithm is established to effectively assess tight sandstone reservoir quality. Seven tight sandstone samples from the Chang 6 reservoir in the W area of the AS oilfield in the Ordos Basin are employed. First, the petrological and physical characteristics of the study area reservoir are briefly discussed through thin section observations, electron microscopy analysis, core physical property tests, and whole-rock and clay mineral content experiments. Second, the pore type, throat type and pore and throat combination characteristics are described from casting thin sections and scanning electron microscopy. Third, high-pressure mercury injection and nitrogen adsorption experiments are optimized to evaluate the characteristic parameters of pore throat distribution, micro- and nanopore throat frequency, permeability contribution and volume continuous distribution characteristics to quantitatively characterize the reservoir micro- and nanopores and throats. Then, the effective pore throat frequency specific gravity parameter of movable oil and the irreducible oil pore throat volume specific gravity parameter are introduced and combined with the reservoir physical properties, multipoint Brunauer-Emmett-Teller (BET) specific surface area, displacement pressure, maximum mercury saturation and mercury withdrawal efficiency parameters as the basic parameters for evaluation of tight sandstone reservoir quality. Finally, the weight coefficient of each parameter is calculated by the gray correlation method, and a reservoir comprehensive evaluation indicator (RCEI) is designed. The results show that the study area is dominated by types II and III tight sandstone reservoirs. In addition, the research method in this paper can be further extended to the evaluation of shale gas and other unconventional reservoirs after appropriate modification.

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3D geomechanics modeling of Indonesia B oilfield and its application in wellbore stability

et al. 2022

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Petrel2ANSYS: Accessible software for simulation of crustal stress fields using constraints provided by multiple 3D models employing different types of grids

Cited by 12 publications

References 31 publications

Finite Element Simulation of Oil and Gas Reservoir In Situ Stress Based on a 3D Corner-point Grid Model

Finite Element Simulation of Oil and Gas Reservoir In Situ Stress Based on a 3D Corner-point Grid Model

A reservoir quality evaluation approach for tight sandstone reservoirs based on the gray correlation algorithm: A case study of the Chang 6 layer in the W area of the as oilfield, Ordos Basin

3D geomechanics modeling of Indonesia B oilfield and its application in wellbore stability

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