Digital rock physics: Defining the reservoir properties on drill cuttings

Kadyrov, Rail; Нургалиев, Д. К.; Saenger, Erik H.; Balcewicz, Martin; Minebaev, Rezit; Statsenko, Evgeny; Glukhov, M. S.; Nizamova, A.V.; Galiullin, B. M.

doi:10.1016/j.petrol.2021.110063

Cited by 16 publications

(6 citation statements)

References 23 publications

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“…With the development of technology, numerous construction methods have emerged for DRP, including numerical reconstruction and physical experimental methods. The former often predicts the 3D structure of rocks by extracting geometric and topological information from 2D rock slices and using process simulation, Gaussian simulation, simulated annealing, and multipoint statistical methods, resulting in a large difference between the simulation results and the real rock pore structure, which limits the development of this method. − The latter obtains digital rock models by reconstructing 3D images from 2D rock pictures obtained by instruments, such as scanning electron microscopy or X-ray computed tomography. The most commonly used methods include X-ray CT scanning, confocal laser scanning, and sequential thin section overlay .…”

Section: Drp Construction Based On DLmentioning

confidence: 99%

Study on the Diverting Characteristics of Diverting Acid Based on Digital Rock Physics

Kang,

He,

et al. 2023

Energy Fuels

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The application of diverting acid in oil and gas field development is becoming more and more widespread, with its characteristics of clean and pollution-free, self-diverting, and good acidizing effect. Currently, there is little research on the diverting characteristics of diversion acids in reservoirs. Using nondestructive and high-precision digital rock physics (DRP) technology, the diverting characteristics of diverting acid can be studied in three dimensions. At the same time, in the process of digital rock construction, deep learning (DL) technology is used to accurately identify and segment fractures, pores, and matrix in complex rocks, construct a three-dimensional pore-fracture network model and rock mineral model that fit the actual situation, and establish a fluid’s real flow channel. Finally, the acidification characteristics of diverting acid and conventional hydrochloric acid systems were studied using DRP technology, and it was found that for rocks with strong heterogeneity, the conventional hydrochloric acid system has a poor acidizing effect. On the one hand, it is difficult to connect low-permeability channels and effectively increase the oil drainage area. On the other hand, it will cause excessive dissolution of reservoir rocks, destroy the rock skeleton, and block the flow channels due to the destruction of some rock skeletons. Diverting acid flows in rocks, constantly undergoing acid–rock reactions, increases the viscosity of the acid solution, forcing the acid solution to flow from high-permeability channels to low-permeability channels, improving the connectivity of low-permeability channels, and effectively improving the acidification effect to achieve uniform acidification and increase rock permeability. The concentration of the diversion agent is the main factor affecting the diversion effect. Considering the acidification radius, construction cost, and pumping pressure conditions, appropriately increasing the concentration of the diversion agent can improve the effect of uniform acidification.

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Section: Drp Construction Based On DLmentioning

confidence: 99%

Study on the Diverting Characteristics of Diverting Acid Based on Digital Rock Physics

Kang,

He,

et al. 2023

Energy Fuels

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“…3D imaging techniques address this challenge by providing spatially re-solved data, enabling the representation of porosity distribution, pore connectivity, pore shapes and pore-throat sizes. Methods such as X-ray computed tomography (CT) [9,10], focused ion beam scanning electron microscopy (FIB-SEM) [11], optical coherence tomography (OCT) [12] and some other techniques, have revolutionized the science by enabling the direct visualization of intricate porous architectures.…”

Section: Introductionmentioning

confidence: 99%

Multiple Cubes Growth Algorithms for Simple Representative Elementary Volume Determination on 3D Binary Images

Kadyrov

2024

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Porosity analysis is fundamental for understanding various material properties and transport phenomena in scientific and engineering disciplines. This study delves into the challenging task of determining the representative elementary volume (REV) in porous media, crucial for accurate analyses. Two novel algorithms, Center-Corner Cubes Growing (3CG) and Random Cubes Growing (RCG), were proposed and tested on synthetic body-centered cubic (BCC) sphere packing and natural porous structures of Berea sandstone and Indiana limestone, obtained using µCT. First algorithm (3CG) operates by analyzing porosity within cubes growing from each of the eight corners and a central region of a 3D binarized stack. In contrast, the Random Cube Growing (RCG) algorithm randomly selects seed points within the 3D stack and grows cubic regions around them. Both algorithms systematically compute porosity for various cube sizes, determining the average porosity and standard deviation for each extent. These visual analytics tools contribute to identifying the specific size ranges where porosity curves converge and stabilize, indicating potential REV within the material. While 3CG simplifies the approach by focusing on a limited number of curves, RCG provides a broader view, capturing diverse porosity patterns. The absence of consistent local minima in certain cases indicates high porosity heterogeneity and the impossibility of achieving REV in certain sample sizes.

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“… 4 Cutting samples have also been imaged using scanning electron microscopy (SEM) and properties explored using digital rock physics. 5 , 6 …”

Section: Introductionmentioning

confidence: 99%

“…Drill cuttings have been used to determine properties of the rock such as mineralogy, wave velocity, density/porosity, and permeability estimates . Cutting samples have also been imaged using scanning electron microscopy (SEM) and properties explored using digital rock physics. , …”

Section: Introductionmentioning

confidence: 99%

“…4 Cutting samples have also been imaged using scanning electron microscopy (SEM) and properties explored using digital rock physics. 5,6 Routine core analysis measurements, such as mineralogy from X-ray diffraction (XRD) or X-ray fluorescence (XRF) and organic content from pyrolysis, have been performed on cuttings from organic-rich mudrocks. 7 However, the presence of nanopores and organic matter in source rock reservoirs can make measurements of bulk density and porosity challenging.…”

Section: ■ Introductionmentioning

confidence: 99%

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Improved Methods for Determination of Petrophysical Properties of Unconventional Tight Rocks Using Particulate Samples

2022

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Drill cuttings are available continuously over the entire depth of any drilled wells. The use of drill cuttings to obtain petrophysical data can add a significant value in formation evaluation. An update to the previous study is presented using NMR and Archimedes principle to determine petrophysical properties including porosity, bulk density, and matrix density from drill cuttings of organic-rich mudrock formations. In the original published method, sonication was used to clean and saturate the drill cutting samples. In this improved method, particulate samples were saturated using both sonication and pressure injection methods. The obtained results were compared with accepted lab measurement techniques. Results show that pressure saturation of particulate samples can provide accurate results of petrophysical properties. Obtaining reliable petrophysical data from drill cuttings can provide continuous and quasi-real-time data for the formation evaluation of reservoirs and can effectively reduce costs by reducing or eliminating expensive formation evaluation methods.

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Digital rock physics: Defining the reservoir properties on drill cuttings

Cited by 16 publications

References 23 publications

Study on the Diverting Characteristics of Diverting Acid Based on Digital Rock Physics

Study on the Diverting Characteristics of Diverting Acid Based on Digital Rock Physics

Multiple Cubes Growth Algorithms for Simple Representative Elementary Volume Determination on 3D Binary Images

Improved Methods for Determination of Petrophysical Properties of Unconventional Tight Rocks Using Particulate Samples

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