Data-Driven Rock Mechanics Parameter Calculation Through the Integration of EPBP and OSDU: A Case Study

To bridge the gap between data and its application, the Sinopec Exploration and Production Research Institute and the Schlumberger Digital and Integration Group combined the capabilities of Sinopec's Exploration and Exploration Business Cooperation Platform (EPBP) and the Open Underground Data Universe (OSDU) for data governance in a private cloud infrastructure. To test the viability from data to application, rock mechanics parameters were derived from the direct standardization of both single well and seismic data. An exclusive application programming interface (API) was formulated, facilitating the automated data transition and from EPBP to OSDU. Consequently, the standard data is seamlessly extracted from OSDU for processing and subsequent computational applications. It underscores the potential for a consolidated approach to data standards, platforms, and service interfaces. This synergistic combination of EPBP, serving as the comprehensive data source for various data samplings, with OSDU, the vanguard for data quality assurance, emerges as a powerful tool. This integrated method performs 15% better on average in computation efficiency than standard rock mechanics parameter calculations. Impressively, the maximum error margin remains confined below 10%. It not only pioneers a novel methodology for calculating rock mechanics parameters but also lays the groundwork for future strategies in data management. Rock mechanical parameters, encompassing both elastic (e.g., Young's modulus and Poisson's ratio) and strength metrics (e.g., tensile strength and internal friction angle), serve as the nexus between geological and engineering reservoir sweet spots. These parameters are indispensable for simulating reservoir stress fields, understanding fracture dynamics, and pinpointing the engineering sweet spot (Mas Ivars et al., 2011). Their influence spans multiple disciplines, including drilling design, oil and gas development, and completion reconstruction. Studying the determinants of rock mechanics in target formations allows for a more nuanced understanding of stress characteristics, providing a robust theoretical foundation for further exploration in the field (Zhu et al., 2020). While experimentation remains the gold standard for ascertaining rock mechanics parameters, its limitations—high costs, time consumption, and specific depth constraints—often relegate it to a calibration role.