Integrated conditional global optimisation for discrete fracture network modelling

Tran, Nam H.; Chen, Zhixi; Rahman, Sheik S.

doi:10.1016/j.cageo.2005.03.019

Cited by 28 publications

(19 citation statements)

References 13 publications

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“…A number of different measurements are incorporated in their OFs, such as histogram, correlation, multi-histogram, spatial covariance, fractal dimension, intersections, and fracture density. Recently, the author [24] combine SA with comprehensive fracture characterization, neuro-stochastic simulation, object-based and conditional modeling (Fig. 1).…”

Section: Simulated Annealing and Dfn Inversionmentioning

confidence: 99%

“…The basic concept of SA originates from the physical process of metallurgical annealing. An annealing process occurs when a metal in a heat bath is initially at high temperature and is [24] slowly cooled. At first, all particles are distributed randomly in a quasi-liquid state.…”

Section: Simulated Annealingmentioning

confidence: 99%

“…One of the remarkable advantages of global optimization is the flexibility of the OF. Fracture data of different scales and nature are integrated as independent components of the OF [24]. Formulation of the OF is a crucial step in DFN inversion and must follow data analysis [24].…”

Section: Objective Function Formulationmentioning

confidence: 99%

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Simulated annealing technique in discrete fracture network inversion: optimizing the optimization

Tran

2007

Comput Geosci

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Simulated annealing (SA) has the capacity to handle complex problem of fracture heterogeneity. However, its applications to characterization and modeling of an actual discrete fracture network are limited. Borrowing the context of geothermal reservoirs (where extensive discrete fractures exist), this paper attempts to solve several key practical issues that persist in current models: objective function's (OF's) formulation, modification scheme, and stop criteria. The improvements are examined in a case study on an actual fracture outcrop, where results are compared with a current and advanced SA work.

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Section: Simulated Annealing and Dfn Inversionmentioning

confidence: 99%

Section: Simulated Annealingmentioning

confidence: 99%

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Simulated annealing technique in discrete fracture network inversion: optimizing the optimization

Tran

2007

Comput Geosci

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“…The fracture intensity is an important parameter to give an indication about the probability of fractures occurrence in a discrete fracture model [21]. The fracture intensity is defined as the number of fractures per unit bulk volume.…”

Section: Fracture Intensitymentioning

confidence: 99%

Numerical Study of Low Salinity Water Flooding in Naturally Fractured Oil Reservoirs

Azim¹,

Faiz²,

Rahman³

et al. 2018

Recent Insights in Petroleum Science and Engineering

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Due to the increase of the activities in the oil industries, higher interest has been given to enhance the recover the trapped oil and produce more oil from the matured reservoirs. Worldwide, enhanced oil recovery (EOR) is implemented in most reservoirs to recover additional amounts of oil that are not recovered during secondary recovery by water flood or gas injection. Recently, a numerous techniques such as thermal, miscible, immiscible and chemical has proposed to enhanced oil recovery and to increase the producible oil from oil reservoirs. The suitability and the success of a specific EOR process are highly sensitive to reservoir and fluid characteristics, recovery efficiency, availability of injected fluids, and costs. One of the common techniques which have been proposed recently is low salinity water flooding where the sea water with a controlled salinity and salt content is used to alter the rock wettability or enhance the fine migration and resulted in higher oil production. This study aims to investigate the possibility of using low salinity water flooding in naturally fractured reservoirs. The wettability changes are taking into account in terms of oil/water relative, saturation and capillary pressure as these parameters play a key role during the simulation of brine injection. The results show that the oil recovery significantly increases specially for water wet reservoirs as the reason behind is the decreasing water production after the breakthrough of the low saline brines.

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“…Object based simulation technique is used in generation of network fracture maps [20]. Fractures are treated as different objects and placed in the domain randomly.…”

Section: Generation Of Subsurface Network Fracture Mapmentioning

confidence: 99%

Prediction of Naturally Fractured Reservoir Performance using Novel Integrated Workflow

Azim¹

2017

ijacsa

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Abstract-Generation of naturally fractured reservoir subsurface fracture maps and prediction its production potential are considered complex process due to insufficient data available such as bore hole images, core data and proper reservoir simulator model.To overcome such shortcomings, the industry has relied on geo-statistical analyses of hard and soft data, which are often referred to as static data. This paper presents an integrated workflow that models and predicting fractured reservoirs performance, through the use of gradient-based inversion techniques and discrete fracture network modelling (DFN), which-through the inversion of well test data (i.e., dynamic data)-aims to optimise fracture properties and then predicting of the reservoir production potential. The first step in the workflow is to identify flow contributing fracture sets by analysing available core descriptions, borehole images, conventional log data and production data. Once the fracture sets are identified, the fracture intensity is statistically populated in the inter-well space. In the second step, 3D block-based permeability tensors are calculated based on flow through discrete fractures, and the fracture intensity is then propagated away from the wellbore, i.e., by relating to permeability tensors with fracture intensity. In the final step (fracture optimisation), the fracture properties are computed by DFN modelling, which includes distribution, orientation and geometry in different realisations. Fluid flow is simulated in these discrete fractures to estimate pressure change and pressure derivatives. The production rate associated with drill stem test that performed within this reservoir area has been successfully simulated using the optimised subsurface fracture map that has been generated from the first step.

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Integrated conditional global optimisation for discrete fracture network modelling

Cited by 28 publications

References 13 publications

Simulated annealing technique in discrete fracture network inversion: optimizing the optimization

Simulated annealing technique in discrete fracture network inversion: optimizing the optimization

Numerical Study of Low Salinity Water Flooding in Naturally Fractured Oil Reservoirs

Prediction of Naturally Fractured Reservoir Performance using Novel Integrated Workflow

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