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Digital Analysis of the whole Core Photos
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, First EAGE Digitalization Conference and Exhibition, Nov 2020, Volume 2020, p.1 - 5
Abstract
Summary
In this work, we present the technique for automatic processing of whole size slabbed core digital images. The technique helps to identify areas of the photo that are close in properties that can correspond to different rock types, facies, etc. These distinguishing features can be used to predict petrophysical rock properties using available laboratory measurements. Obtained data can be used in complex log interpretation, construction and further validation of the reservoir hydrodynamic model, refinement of well geomechanical models. Texture characteristics of whole core surfaces obtained from the images of an average and high resolution can considerably increase the accuracy of the rock classification and more reliable distribution of rock properties on larger scales. Image color clustering is carried out using the Gaussian approximation for image pixels’ density in the digital color-coding space. The technique complements available log and core data by specific properties descriptors (porosity, permeability, natural gamma-rays emission, etc.), including rock mass color characteristics, texture, bedding planes angle and thickness, and shape and size of clastic inclusions. The possibility of the generation of high-resolution curves for physical properties measured on core plugs was demonstrated.
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