Abstract

In mature field appraisal and development, discretized geomechanical property models play a vital role in providing information on in situ stress regime as a guide for placement of directional wells. Laboratory methods of measuring these properties, in most cases, take only small samples from consolidated rocks. These isolated samples may not be representative of the entire elastic regime existing in the reservoir owing to sample size. In general, geomechanical studies are performed on a well-by-well basis and then these measurements are used as calibration points to convert 3D seismic data (if available) to geomechanical models. However, elastic properties measured this way are restricted to the well location and interpolation across the reservoir may not be always appropriate. To overcome these challenges, this paper describes an integrated approach for deriving 3D geomechanical models of the reservoir by combining results of 3D geocellular models and basin models. The basin model reconstructs the geologic history (i.e., burial history) of the reservoir by back-stripping it to the original depositional thickness. Through this reconstruction, the mechanical compaction, pore pressures, effective stress, and porosity versus depth relationships are established. Next, these mechanical properties are discretized into 3D geocellular grid using empirical formulas via lithofacies model even if no 3D seismic data are available for the reservoir. The discretization of elastic properties into 3D grids results in a better understanding of the prevailing stress regimes and helping in design of hydraulic fracturing operations with minimal risks and costs. This approach provides an innovative way of determining effective horizontal stress for the entire reservoir through 3D distribution of elastic properties.

Highlights

  • In unconventional tight reservoirs, where hydraulic fracturing is the key technique for enhanced oil production, a thorough knowledge of distribution of geomechanical properties helps to maximize return on investment

  • Use of current geostatistics-based modeling approach explained in this study helped to nullify these restrictions and provided a full field geomechanical property distribution model with the integration of parameters from basin modeling approach

  • Knowledge of in situ stress conditions and facies is very important for these operations as it guides the stimulation design which will in turn control the fracture propagation

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Summary

Introduction

In unconventional tight reservoirs, where hydraulic fracturing is the key technique for enhanced oil production, a thorough knowledge of distribution of geomechanical properties helps to maximize return on investment. This paper presents a practical approach for deriving and discretizing geomechanical and other elastic properties in unconventional tight reservoir by integrating results of 3D geocellular and basin models. It is the integration step where results from basin modeling study (i.e., distribution of mechanical properties of reservoir rocks over geological time) are correlated with each cell of geocellular model using empirical relationships (Eberhert-Phillips et al 1989; Ingram and Urai 1999; Horsrud 2001; Yarus and Carruthers 2014).

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