Naturally fractured hydrocarbon reservoir simulation by elastic fracture modeling

Soleimani, Mehrdad

doi:10.1007/s12182-017-0162-5

Cited by 35 publications

(15 citation statements)

References 55 publications

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“…Because of limitations in the modeling features of finite element simulation programs, it may not use these programs to establish a model that provides a fine description of the reservoir attributes for the reservoir scale; geological modeling programs often use corner-point grids to provide a fine description and characterization of reservoirs. Many studies have been carried out to resolve this obstacle [35]. In this paper, we present a method for implementing a finite element simulation of in situ stress based on a 3D corner-point grid model combining the merits of both the corner-point and FEM grids.…”

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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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: 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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“…In addition, its correlation with the rock crack and pore pressure was discussed. Fortunately, there have been studies using more realistic observational data to build fracture models [44] and there are detailed discussions on the differences between various fracture models.…”

Section: Temporal Evolution Of a Velocity Structurementioning

confidence: 99%

Exploring the Rheology of a Seismogenic Zone by Applying Seismic Variation

et al. 2021

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Although the study of spatiotemporal variation of a subsurface velocity structure is a challenging task, it can provide a description of the fault geometry as well as important information on the rheological changes caused by fault rupture. Our main objective is to investigate whether rheological changes of faults can be associated with the seismogenic process before a strong earthquake. For this purpose, a 3D tomographic technique is applied to obtain P- and S-wave velocity structures in central Taiwan using travel time data. The results show that temporal variations in the Vs structure in the source area demonstrate significant spatiotemporal variation before and after the Chi-Chi earthquake. We infer that, before the mainshock, Vs began to decrease (and Vp/Vs increased) at the hanging wall of the Chelungpu fault, which may be induced by the increasing density of microcracks and fluid. However, in the vicinity of the Chi-Chi earthquake’s source area, Vs increased (and Vp/Vs decreased), which may be attributed to the closing of cracks or migration of fluid. The different physical characteristics at the junctional zone may easily generate strong earthquakes. Therefore, seismic velocity changes are found to be associated with a subsurface evolution around the source area in Taiwan. Our findings suggest that monitoring the Vp and Vs (or Vp/Vs) structures in high seismic potential zones is an important ongoing task, which may minimize the damage caused by future large earthquakes.

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“…Despite their favourable features, they suffer from a lack of realism for modelling naturally fractured reservoirs. The solution could be making deterministic and stochastic discrete fracture network (DFN) models (Fang et al, 2017), using geometrical (Soleimani, 2017) and geomechanical (Maerten, 2010) elastic laws. In numerous studies, the use of geomechanical data for structural modelling shows that these models are quite valuable for estimating natural fractures and faults (Bourne et al, 2000;Bourne and Willemse, 2001;Davatzes et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Discrete Fracture Network (Dfn) Modelling of Fractured Reservoir Based on Geomechanical Restoration, a Case Study in the South of Iran

Shiri¹,

Shiri²

2021

MGPB

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Fractured reservoirs have always been of interest to many researchers because of their complexities and importance in the oil industry. The purpose of the current study is to model the fractured reservoir based on geomechanical restoration. Our target is the Arab Formation reservoir which is composed of seven limestone and dolomite layers, separated by thin anhydrite evaporate rock. First of all, in addition to the intensity, the dip, and the azimuth of the fractures, the magnitude and the direction of the stresses are determined using wireline data e.g. photoelectric absorption factor (PEF), sonic density, neutron porosity, a dipole shear sonic imager (DSI), a formation micro imager (FMI), and a modular formation dynamics tester (MDT). Then, the seismic data are interpreted and the appropriate seismic attributes are selected. One of our extracted attributes was the ant tracking attribute which is used for identifying large-scale fractures. Using this data, fractures and faults can be identified in the areas away from wells in different scales. Subsequently, the initial model of the reservoir is reconstructed. After that, the stress field and the distribution of fractures are obtained using the relationship between the stresses, the strains, and the elastic properties of the existing rocks. The model is finely approved using the azimuth and the intensity of fractures in the test well. Our findings showed that the discrete fracture network (DFN) model using geomechanical restoration was positively correlated with real reservoir conditions. Also, the spatial distribution of fractures was improved in comparison to the deterministic-stochastic DFN.

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Naturally fractured hydrocarbon reservoir simulation by elastic fracture modeling

Cited by 35 publications

References 55 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

Exploring the Rheology of a Seismogenic Zone by Applying Seismic Variation

Discrete Fracture Network (Dfn) Modelling of Fractured Reservoir Based on Geomechanical Restoration, a Case Study in the South of Iran

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