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Digital Rock Typing DRT_v19.pdf (3.84 MB)
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Digital Rock Typing DRT Algorithm Formulation with Optimal Supervised Semantic Segmentation

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posted on 07.01.2022, 22:49 authored by Omar AlfarisiOmar Alfarisi, Djamel Ouzzane, Mohamed Sassi, TieJun Zhang

Each grid block in a 3D geological model requires a rock type that represents all physical and chemical properties of that block. The properties that classify rock types are lithology, permeability, and capillary pressure. Scientists and engineers determined these properties using conventional laboratory measurements, which embedded destructive methods to the sample or altered some of its properties (i.e., wettability, permeability, and porosity) because the measurements process includes sample crushing, fluid flow, or fluid saturation. Lately, Digital Rock Physics (DRT) has emerged to quantify these properties from micro-Computerized Tomography (uCT) and Magnetic Resonance Imaging (MRI) images. However, the literature did not attempt rock typing in a wholly digital context. We propose performing Digital Rock Typing (DRT) by: (1) integrating the latest DRP advances in a novel process that honors digital rock properties determination, while; (2) digitalizing the latest rock typing approaches in carbonate, and (3) introducing a novel carbonate rock typing process that utilizes computer vision capabilities to provide more insight about the heterogeneous carbonate rock texture.

History

Email Address of Submitting Author

alfarisi@live.ca

ORCID of Submitting Author

0000-0002-8669-7376

Submitting Author's Institution

ADNOC

Submitting Author's Country

Canada