Abstract

This work aimed to present a detailed workflow for building a geomechanical model. For a case study, the workflow is then applied to a horizontal well X. The first step in building a geomechanical model is gathering data regarding well information (tubing, casing, deviation…), geological information (type of fault, permeability, reservoir radius, skin…), logs data (density, resistivity, sonic, caliper…), in-situ test data (leak-off test, formation test,…) and core data (tensile strength test, fracture toughness test, tri-axial test…). The second step is to build the geomechanical model using data analysis so that information about state of stress (vertical and principal horizontal stresses, pore pressure, concentration stress around wellbore) and rock mechanical properties (unconfined compressive strength, tensile strength, fracture toughness, Young modulus, Poisson ratio) can be determined. Moreover, the differences in data analysis for vertical and horizontal wells were also mentioned in this work. Furthermore, it is evident that the more data we get, the more accurately a geomechanical model can be built. However, in reality, not all necessary data can be obtained, so this work also explained how to draw the most information from available data so that we can minimize the number of assumptions and uncertainties. An accurate geomechanical model is very essential for others works such as well bore stability or performance prediction of a well stimulation technique. The case study of this work presented the geomechanical modeling for the well X. The paper then presented the application of geomechanical modeling for the Evaluation of High Energy Gas Fracturing performance as well as for Sand Control analysis.

Highlights

  • Geomechanics in petroleum industry deals with issues in geosciences related to rock mechanics

  • Inference of local in situ stress orientations from regional scale maps would inevitably lead to an incorrect pre-drilling prediction. They vary in function of depth and type of rocks, as well as type of fault and type of pore pressure, so core test data is needed to calibrate the geomechanical model

  • We present a detailed workflow to build and calibrate geomechanical models

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Summary

INTRODUCTION

Geomechanics in petroleum industry deals with issues in geosciences related to rock mechanics. Geomechanical evaluation is useful for the study of wellbore stability as well as for predicting the performance of reservoir stimulation works (for example, hydraulic fracturing/high energy gas fracturing) As these works demand considerably high in financial support and in time, having an accurate geomechanical model is essentially important in petroleum industry. Inference of local in situ stress orientations from regional scale maps would inevitably lead to an incorrect pre-drilling prediction Regarding local stresses, they vary in function of depth and type of rocks, as well as type of fault and type of pore pressure (normal or abnormal), so core test data is needed to calibrate the geomechanical model. In order to have an accurate geomechanical model, it is always better to have in-situ updated information, such as core test, formation test and logs data

CASE STUDY
APPLICATION OF GEOMECHANICAL
APPLICATION OF GEOMECHANICAL MODEL FOR SAND CONTROL
CONCLUSIONS
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