Improved Characterization of Fault Zones by Quantative Integration of Production and Seismic AVAZ Data

Ali, Aamir; Shahraini, A.; Jakobsen, Morten

doi:10.3997/2214-4609.201400252

Cited by 1 publication

(2 citation statements)

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“…They also used a rock physics model for the estimation of the permeability and effective stiffness tensor of the fractured reservoir, based on Oda's method (Oda 1985) and the linear‐slip model (Schoenberg and Sayers 1995), respectively. Jakobsen and Shahraini (2008a,b), Jakobsen, Skjervheim and Aanonsen (2007b) and Ali, Shahraini and Jakobsen (2009) modified and extended Will et al . 's (2005) method in different ways for application in different faulted and/or fractured systems.…”

Section: Introductionmentioning

confidence: 82%

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Characterization of fractured reservoirs using a consistent stiffness-permeability model: focus on the effects of fracture aperture

Shahraini

Ali

Jakobsen

2010

Geophysical Prospecting

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The successful exploitation of many hydrocarbon reservoirs may depend on proper characterization of fractured or composite porous media. However, due to anisotropy and heterogeneity, the characterization of such kind of reservoirs is a complicated task which needs proper attention and care. There are often strong correlations between the effective permeability and seismic anisotropy of fractured reservoirs. The exploitation of such correlations is extremely important in understanding of the spatial variation of anisotropic permeability. The purpose of this thesis work was to develop novel workflows and methodologies in order to exploit the correlations between effective permeability and seismic anisotropy of fractured reservoirs.The correlations between the effective mechanical and transport properties of fractured reservoirs within the context of a joint inversion of seismic and production data have been exploited to obtain improved hydrocarbon reservoir characterization.In this work, the effective mechanical and transport properties of fractured reservoirs and related systems are estimated using an efficient and consistent permeabilitystiffness model from the same parameters of microstructure. The estimated effective mechanical properties in combination with anisotropic Gassmann relations have been used to calculate the seismic amplitude versus angle and azimuth AVAZ) data i.e. reflection coefficients as a function of incidence angle and azimuth from the top of the reservoir. Similarly from the estimated effective hydraulic properties, the reservoir simulator can calculate the production data such as well bottom hole pressure, well oil production, well water cut, saturation and pressure for all grid blocks at specific time steps.The seismic AVAZ and/or production data is used in the Bayesian inversion scheme to estimate the parameters of factures (e.g. fracture density, fracture aperture and fracture orientation) required to predict permeability. This work shows that joint inversion of seismic and production data give the best results due to the less sensitivity of seismic AVAZ data to fracture aperture which is one of the most II important parameter of the microstructure predicting the permeability. This workflow of joint inversion of seismic and production data has also been applied for the characterization of faulted reservoirs (e.g., fault damage zone with deformation bands oriented parallel to the fault core). The transmissibility multiplier is used to model the effect of the fault core and the consistent rock physics model has been used to model fractures and deformation bands in the damaged zone.Analogies between different physical phenomena and coupled processes such as wave-induced fluid flow have been given a special attention to infer more useful information about fractured reservoirs containing single or multiple sets of fractures. The results obtained form these workflows and methods can help in better management of fractured reservoirs and optimum field development. IV Preface

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Section: Introductionmentioning

confidence: 82%

“…We use the same workflow (Fig. 1) as Jakobsen and Shahraini (2008a,b) and Ali et al . (2009) but now we modify the rock physics model and invert for the fracture aperture in addition to the fracture density and orientation.…”

Section: Introductionmentioning

confidence: 99%