Abstract

ABSTRACT Due to the highly uncertain nature of unconventional reservoirs and difficult monitoring of the engineering effectiveness, a reliable, accurate, and efficient fracture propagation model is essential to help operators understand/plan their assets. The fracture modeling sensitivity study is a comprehensive investigation of the key factors that influence the behavior of hydraulic fractures in subsurface rock formations. This study utilizes advanced numerical simulation techniques to model the propagation of hydraulic fractures in various geomechanics conditions and evaluates the sensitivity of fracture behavior to changes in the design parameters and rock properties. Additionally, the study evaluates the sensitivity of fracture behavior to changes in the hydraulic fracturing design parameters, such as injection rate, fluid viscosity, and proppant concentration. The results demonstrate that these parameters can significantly affect fracture geometry and propagation behavior, highlighting the importance of accurate design and optimization of hydraulic fracturing operations. Overall, the fracture modeling sensitivity study provides valuable insights into the mechanics of hydraulic fracture propagation and the key factors that influence it. The findings can inform the design and optimization of hydraulic fracturing operations, ultimately improving the efficiency and effectiveness of hydrocarbon extraction from unconventional reservoirs. INTRODUCTION Hydraulic fracturing involves the injection of high-pressure fluid into a wellbore, creating fractures in the rock to allow for the extraction of trapped hydrocarbons. Accurate modeling of hydraulic fractures is crucial for optimizing production and reducing environmental impact. One such modeling approach is the Peudo 3D Displacement Discontinuity Method (P3D DDM), which has gained popularity due to its ability to simulate complex fracture geometries. The sensitivity study of hydraulic fracture modeling using P3D DDM is an important research topic that aims to understand the effects of various input parameters on fracture behavior. In this study, researchers perform a series of simulations by varying parameters such as fluid viscosity, injection rate, and fracture toughness to investigate their impact on fracture growth and propagation. The results of the study can provide valuable insights into the design and optimization of hydraulic fracturing operations, which can lead to improved efficiency and reduced environmental impact.

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