Enhancing Petrophysical Property Prediction from Well Logs Using Digital Rock Physics Technique - Case Study of a North Sea Sandstone Reservoir

2015 ◽  
Author(s):  
Jianghui Wu ◽  
Guodong Jin ◽  
Tom Bradley ◽  
Rex Sy ◽  
Alberto Mezzatesta ◽  
...  
Keyword(s):  
North Sea ◽  
Rock Physics ◽  
Well Logs ◽  
Property Prediction ◽  
Digital Rock Physics ◽  
Digital Rock ◽  
Petrophysical Property ◽  
Sandstone Reservoir

scholarly journals Digital Rock Physics Investigation in Outcrop Sandstone Reservoir

2019 ◽  
Vol 2 (1) ◽  
pp. 20-25
Author(s):  
Handoyo Handoyo ◽  
Fatkhan Fatkhan ◽  
F. D. E. Latief ◽  
R. Rizki ◽  
H. Y. Hutami
Keyword(s):  
Rock Physics ◽  
Digital Rock Physics ◽  
Digital Rock ◽  
Sandstone Reservoir

Application of alternative digital rock physics methods in a real case study: a challenge between clean and cemented samples

2018 ◽  
Vol 66 (4) ◽  
pp. 767-783 ◽  
Author(s):  
Sadegh Karimpouli ◽  
Sadegh Khoshlesan ◽  
Erik H. Saenger ◽  
Hamed Hooshmand Koochi
Keyword(s):  
Rock Physics ◽  
Real Case ◽  
Digital Rock Physics ◽  
Digital Rock

Using digital rocks and simulations of pore-scale multiphysics to characterize a sandstone reservoir

2017 ◽  
Vol 5 (1) ◽  
pp. SB33-SB43
Author(s):  
Madhumita Sengupta ◽  
Mark G. Kittridge ◽  
Jean-Pierre Blangy
Keyword(s):  
Elastic Properties ◽  
Computational Methods ◽  
Laboratory Data ◽  
Rock Physics ◽  
Digital Rock Physics ◽  
Reservoir Rocks ◽  
Digital Rock ◽  
Physical Measurements ◽  
Reservoir Sandstones ◽  
Sandstone Reservoir

The modeling and prediction of transport and elastic properties for sandstones are critical steps in the exploration and appraisal of hydrocarbon reservoirs, particularly in deepwater settings where seismic data are abundant and well costs are high. Reliable multiphysics modeling of reservoir rocks requires robust models that respect the underlying geologic character and microstructure of the geomaterial and honor the measured properties. We have developed a case study that integrates traditional laboratory measurements with computational methods to quantify and relate physical properties of reservoir sandstones. We evaluate the complementary use of digital rock simulations as a practical technology that adds physical insight into the development and calibration of rock-property relationships. We also determine the challenges faced while applying digital rock physics to interpret laboratory data, and the steps taken to overcome those limitations. Combining physical and computational methods, we achieve an improved understanding of the link between geologic properties (sorting, microporosity) with transport (single-phase permeability, electrical conductivity) and elastic properties (moduli). Combining physical measurements with numerical computations has enhanced our understanding of multiphysics relationships in a heterogeneous sandstone reservoir.

Digital Rock Physics and Challenge in Formation Evaluation of Carbonate Reservoir, Case Study

2012 ◽  
Author(s):  
Muhammad Antonia Gibrata ◽  
Mohammed Ramadan Ayoub ◽  
Zubair Kalam ◽  
Omar Yahya Al-amrie ◽  
Olivier Lopez
Keyword(s):  
Rock Physics ◽  
Carbonate Reservoir ◽  
Formation Evaluation ◽  
Digital Rock Physics ◽  
Digital Rock

scholarly journals Digital Rock Physics: A case study of carbonate rocks

PAMM ◽  
2016 ◽  
Vol 16 (1) ◽  
pp. 399-400
Author(s):  
David Uribe ◽  
Erik H. Saenger ◽  
Holger Steeb
Keyword(s):  
Carbonate Rocks ◽  
Rock Physics ◽  
Digital Rock Physics ◽  
Digital Rock

scholarly journals Construction of pore structure and lithology of digital rock physics based on laboratory experiments

2021 ◽  
Vol 11 (5) ◽  
pp. 2113-2125
Author(s):  
Chenzhi Huang ◽  
Xingde Zhang ◽  
Shuang Liu ◽  
Nianyin Li ◽  
Jia Kang ◽  
...  
Keyword(s):  
Pore Structure ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Laboratory Experiments ◽  
Rock Physics ◽  
Reconstruction Method ◽  
Digital Rock Physics ◽  
Digital Rock ◽  
The Core

AbstractThe development and stimulation of oil and gas fields are inseparable from the experimental analysis of reservoir rocks. Large number of experiments, poor reservoir properties and thin reservoir thickness will lead to insufficient number of cores, which restricts the experimental evaluation effect of cores. Digital rock physics (DRP) can solve these problems well. This paper presents a rapid, simple, and practical method to establish the pore structure and lithology of DRP based on laboratory experiments. First, a core is scanned by computed tomography (CT) scanning technology, and filtering back-projection reconstruction method is used to test the core visualization. Subsequently, three-dimensional median filtering technology is used to eliminate noise signals after scanning, and the maximum interclass variance method is used to segment the rock skeleton and pore. Based on X-ray diffraction technology, the distribution of minerals in the rock core is studied by combining the processed CT scan data. The core pore size distribution is analyzed by the mercury intrusion method, and the core pore size distribution with spatial correlation is constructed by the kriging interpolation method. Based on the analysis of the core particle-size distribution by the screening method, the shape of the rock particle is assumed to be a more practical irregular polyhedron; considering this shape and the mineral distribution, the DRP pore structure and lithology are finally established. The DRP porosity calculated by MATLAB software is 32.4%, and the core porosity measured in a nuclear magnetic resonance experiment is 29.9%; thus, the accuracy of the model is validated. Further, the method of simulating the process of physical and chemical changes by using the digital core is proposed for further study.

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