A New Multi-Scale Method to Evaluate the Porosity and MICP Curve for Digital Rock of Complex Reservoir

Author:

Xiong Ting12,Chen Ming3,Jin Yuan4,Zhang Wei5,Shao Haipeng6,Wang Guanqun6,Long Ethan6,Long Wei67

Affiliation:

1. School of Earth Sciences, Yangtze University, Jingzhou 434023, China

2. Shenzhen Branch, CNOOC Co., Ltd., Shenzhen 518000, China

3. Zhanjiang Branch, CNOOC Co., Ltd., Zhanjiang 524057, China

4. College of Geophysics and Information Technology, China University of Geosciences, Beijing 100190, China

5. Shenzhen Branch, China Oilfield Services Limited, Shenzhen 518071, China

6. ICORE GROUP INC., Shenzhen 518057, China

7. Research Institute of Tsinghua University in Shenzhen, Shenzhen 518071, China

Abstract

The evaluation of rock porosity and the mercury injection capillary pressure (MICP) curve is fundamental for oil and gas exploration and production. Digital rock (DR) technology, incorporating 3D micro-CT imaging and numerical methods, has been widely employed to predict these properties. However, analyzing the pore structure of heterogeneous rocks, such as fractured rocks or glutenite, solely through single-scale DR analysis poses challenges. Existing upscaling methods have limitations in fully representing the complete range of pore structures at different scales, with limited comparison to experimental data. To address this, we propose a novel method that upscales porosity and simulates the MICP curve from nano-scale to core scale by merging results from micro-CT (at resolutions of 35 μm and 2 μm) and SEM (at resolutions of 6.5 nm and 65 nm). We validate the developed DR model by applying it to sandstones, glutenite, and igneous rocks, and achieve excellent agreement between the experimental data and the multi-scale DR model across 67 samples. The results demonstrate that the multi-scale model effectively captures the porosity and pore structures across the entire range. In contrast, the single digital rock (DR) model underestimates the porosity measurements for both homogeneous sandstones and heterogeneous cores. While the MICP model based on a single DR proves suitable for homogeneous rock samples, it introduces noticeable discrepancies when applied to heterogeneous rock samples. The developed multi-scale method significantly enhances the confidence in using DR to assess the pore structure of complex rocks.

Funder

Guangdong Introducing Innovative and Entrepreneurial Teams

Shenzhen Peacock Plan

Shenzhen Science and Technology Innovation Committee

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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