Comprehensive knowledge of rock strength and deformability properties holds paramount importance in the E&P activities. This understanding proves critical across a spectrum of designs such as wellbore stability, sanding production, compaction, subsidence, as well as facilitating intricate 3D Geomechanical modeling, and more. This study presents a comprehensive compilation of 525 triaxial and uniaxial tests conducted on samples extracted from a highly heterogeneous limestone formation from the Brazilian pre-salt region over the course of the last 12 years. By incorporating both triaxial and uniaxial test data, the research delves into the rock's response to diverse stress conditions, contributing to the understanding of its mechanical behavior. To analyze this dataset, machine learning techniques were employed to establish correlations, specifically focusing on Uniaxial Compressive Strength (UCS) in relation to porosity and shear envelopes. This approach aimed to unveil intricate patterns and dependencies within a broad spectrum of limestone porosity levels. By harnessing the power of machine learning, the study sought to derive robust correlations that encapsulate the nuanced interplay between UCS, porosity, and shear strength. Such approach not only enhances our understanding of the complex relationships within the dataset but also offers a predictive framework for estimating UCS and CCS based on varying limestone porosities.
Engineering rock mechanics plays a pivotal role in various human activities, spanning civil, mining, petroleum, and environmental engineering. In the realm of rock mechanics specific to Petroleum Engineering, professionals grapple with multifaceted challenges, including reservoir compaction, surface/mudline subsidence, fault reactivation, cap rock integrity, wellbore stability during drilling phases, onset sanding production, and hydraulic fracture design and much more. Effectively addressing these structural issues hinges on a comprehensive understanding of a triad of parameters: i) in situ stress; ii) mechanical rock properties, and iii) underground geometry. This amalgamation of parameters is encapsulated in the concept known as the Mechanical Earth Model (MEM), which has been instrumental since the early 90s.
