Article
Engineering, Geological
Yanyan Li, Wei Hu, Siyu Wei, Lihui Li, Zhihong Zhang, Shengyuan Song
Summary: Preexisting discontinuities have a significant impact on fracture complexity in unconventional reservoirs. They act as barriers for fracture growth, resulting in smaller fracture area and higher fluid pressure for fracture extension. Joints play a more significant role in reducing fracture complexity compared to beddings.
ENGINEERING GEOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Junpeng Zou, Yu-Yong Jiao, Fei Tan, Jiahe Lv, Qiangyong Zhang
Summary: The distribution and cementation strength of pre-existing natural fractures significantly affect the formation of complex hydraulic fracture networks, and hydraulic fracture branches both restrict fracture length development and promote the formation of complex networks.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Energy & Fuels
Jian-Chun Xu, Wen-Xin Zhou, Hang-Yu Li
Summary: Naturally fractured reservoirs play a crucial role in global oil and gas reserves and production. To optimize the development of these reservoirs, researchers propose an optimization workflow by integrating optimization methods with the embedded discrete fracture model (EDFM). Their study demonstrates the effectiveness of this workflow in finding the optimal well controls and improving the economic efficiency of fractured reservoir development.
Article
Computer Science, Interdisciplinary Applications
Haoyu Zhang, Junbin Chen, Zhengyan Zhao, Jianli Qiang
Summary: This study investigates the stress interference of multiple fractures and interaction of natural fractures in well factory fracturing. The results show that hydraulic fracturing can promote the formation of complex fracture networks in naturally fractured reservoirs. Stress differences and the length of pre-existing natural fractures have an impact on the propagation paths of hydraulic fractures.
COMPUTERS AND GEOTECHNICS
(2023)
Review
Geosciences, Multidisciplinary
Yanyan Li, Wei Hu, Zhihong Zhang, Zhaobin Zhang, Yanjun Shang, Lili Han, Siyu Wei
Summary: This research simulates the hydraulic fracturing process in a naturally fractured reservoir using a DFN model with different pre-existing discontinuities. The results show that injection rate has a strong positive influence on the increment of fracture complexity, and the interactions between hydraulic fractures and pre-existing discontinuities significantly affect the fracture geometry.
JOURNAL OF STRUCTURAL GEOLOGY
(2021)
Article
Mechanics
Yanyan Li, Wei Hu, Siyu Wei, Zhihong Zhang, Peng Yang, Shengyuan Song
Summary: This work conducts numerical simulations to investigate the relationship between hydraulic fracturing and the properties of natural fractures and injected fluid in shale reservoirs. The results demonstrate that increasing the natural fracture aperture decreases the complexity of fractures. Increasing the frictional coefficient of natural fractures improves hydraulic fracturing efficiency. Higher injection rates and lower fluid viscosity enhance fracture complexity and improve hydraulic fracturing performance.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Energy & Fuels
Zhang Xiaoxia, Yu Jiajie, Li Nianyin, Wang Chao
Summary: This study focuses on multi-scale fracture prediction and quantitative characterization of fractured carbonate reservoirs using three-dimensional seismic imaging logging and regional tectonic stress field distribution data. Combining various attributes such as variance cube, curvature, and through-flowline system, large-scale cracks are recognized while a small- and medium-sized fracture model is established based on the maximum positive curvature attribute, fracture density, and fracture direction interpreted by imaging logging. Ultimately, the study aims to accurately describe and characterize the multi-scale fracture distribution law to guide the fine development of oilfields.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Energy & Fuels
Leidy Laura Alvarez, Leonardo Jose do Nascimento Guimaraes, Igor Fernandes Gomes, Leila Beserra, Leonardo Cabral Pereira, Tiago Siqueira de Miranda, Bruno Maciel, Jose Antonio Barbosa
Summary: The impact of fracture topology on shape factor and equivalent permeability is significant, especially showing higher hydraulic connectivity (f) values in synthetic scenarios. Numerical simulations show that analytical methods are not efficient for estimating equivalent permeability of fractured medium.
Article
Energy & Fuels
Hao Zhang, James J. Sheng
Summary: A comprehensive numerical investigation is proposed for optimizing Complex Fracture Networks (CFN) in fractured shale reservoirs, taking into account geomechanics and economic factors. The study utilizes an HF propagation model coupled with a power-law probability NF pattern, as well as an EDFM simulation to predict CFN productivity. Results show that optimizing CFN placements can improve economic revenue and gas production significantly.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Warwick M. Kissling, Cecile Massiot
Summary: This study develops new fracture modeling codes based on borehole images in the Taupo Volcanic Zone. It reveals the significant impact of fracture density on fluid flow and permeability. The new Discrete Fracture Network model improves the representation of fractured fluid flow in geothermal reservoirs.
Article
Energy & Fuels
Yong Do Kim, Louis J. Durlofsky
Summary: In this study, a deep-learning-based surrogate model is proposed to predict time-varying well flow rates in multiple fracture realizations. This model utilizes convolutional and recurrent neural networks to capture the spatial variability of fractures and uses the single-phase steady-state pressure solution on a structured rock-matrix grid as input. The resulting proxy provides accurate and fast predictions for optimization purposes, with a significant improvement in net present value and overall speedup compared to simulation-based optimization.
Article
Environmental Sciences
Zitong Zhou, Delphine Roubinet, Daniel M. Tartakovsky
Summary: A method for inferring fracture density and fractal dimension of fractured rocks from thermal experiments data is presented. This method shows that fracture density can be well constrained by data, while fractal dimension is harder to determine. Adding nonuniform prior information related to fracture network connectivity improves the inference of fractal dimension parameter.
WATER RESOURCES RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Weiwei Zhu, Xupeng He, Ryan Kurniawan Santoso, Gang Lei, Tadeusz W. Patzek, Moran Wang
Summary: This study digitized 80 published outcrop maps using a pixel-based fracture detection algorithm and analyzed key fracture properties. The findings provide theoretical justifications for fracture network modeling and reveal multiple power-law distributions for fracture lengths, variations in fracture orientations across scales, and spatial clustering of fracture intensities. The study also emphasizes the presence of T-type nodes in natural fracture networks, which require rule-based algorithms for simulation.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Energy & Fuels
Di Shi, Xin Chang, Liping Li, Mingyang Wu, Rui Song, Yintong Guo, Jupeng Tang, Jianjun Liu
Summary: Permeability assessment of naturally fractured rocks and fractured rocks after fracturing is critical to the development of oil and gas resources. This paper establishes conventional discrete fracture network (C-DFN) and rough discrete fracture network (R-DFN) models based on the discrete fracture network (DFN) modeling method. Through the seepage numerical simulation of the fractured rocks under different DFN, the differences in permeability of the fractured rocks under different parameters and their parameter sensitivity are analyzed and discussed. The results show that unconnected and independent fractures in the fracture network may weaken the seepage capacity of the fractured rocks. The use of C-DFN to equate the fracture network in the fractured rocks may underestimate the connectivity of the fracture network. For the more realistic R-DFN, the promotion of gas flow by connectivity is dominant when connectivity is high, and the hindrance of gas flow by fracture roughness is dominant when connectivity is low or when it is a single fracture. The permeability of the fractured rocks with R-DFN is more sensitive to the parameters than that of the fractured rocks with C-DFN. The higher the connectivity and porosity of the fractured rocks, the more obvious the difference between the permeability of the fractured rocks evaluated by C-DFN and R-DFN.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Engineering, Geological
Eko Pramudyo, Ryota Goto, Kiyotoshi Sakaguchi, Kengo Nakamura, Noriaki Watanabe
Summary: This study reveals the formation of a complex cloud-fracture network (CFN) in granite due to CO2 injection, along with shear slip of natural fractures, under conventional and superhot geothermal conditions. Experiments conducted on granite samples at different temperatures demonstrate that CO2 injection induces dynamic shear slip on natural fractures, with higher slip velocities at lower temperatures. The formation of CFNs is predicted by the Griffith failure criterion and presents challenges in naturally fractured geothermal environments. Future research should address these factors.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Stefan de Graaf, John J. G. Reijmer, Giovanni V. Bertotti, Francisco H. R. Bezerra, Caroline L. Cazarin, Kevin Bisdom, Hubert B. Vonhof
MARINE AND PETROLEUM GEOLOGY
(2017)
Article
Geosciences, Multidisciplinary
Mohamed A. Yassin, Mustafa M. Hariri, Osman M. Abdullatif, M. Makkawi, G. Bertotti, Michael A. Kaminski
JOURNAL OF AFRICAN EARTH SCIENCES
(2018)
Article
Geosciences, Multidisciplinary
Remi Charton, Giovanni Bertotti, Angel Arantegui, Luc Bulot
JOURNAL OF AFRICAN EARTH SCIENCES
(2018)
Article
Geochemistry & Geophysics
Juliana A. G. Lopes, David L. de Castro, Giovanni Bertotti
JOURNAL OF GEODYNAMICS
(2018)
Article
Geosciences, Multidisciplinary
Juliette Lamarche, Arezki Chabani, Bertrand D. M. Gauthier
JOURNAL OF STRUCTURAL GEOLOGY
(2018)
Editorial Material
Geosciences, Multidisciplinary
Stephen E. Laubach, Juliette Lamarche, Bertand D. M. Gauthier, William M. Dunne
JOURNAL OF STRUCTURAL GEOLOGY
(2018)
Article
Geosciences, Multidisciplinary
Pierre-Olivier Bruna, Arthur P. C. Lavenu, Christophe Matonti, Giovanni Bertotti
JOURNAL OF STRUCTURAL GEOLOGY
(2019)
Article
Geosciences, Multidisciplinary
S. E. Laubach, J. Lamarche, B. D. M. Gauthier, W. M. Dunne, David J. Sanderson
JOURNAL OF STRUCTURAL GEOLOGY
(2018)
Article
Geosciences, Multidisciplinary
D. O. Egya, S. Geiger, P. W. M. Corbett, R. March, K. Bisdom, G. Bertotti, F. H. Bezerra
PETROLEUM GEOSCIENCE
(2019)
Article
Geosciences, Multidisciplinary
Mohamed Gouiza, Giovanni Bertotti, Paul A. M. Andriessen
Article
Computer Science, Interdisciplinary Applications
Jan Limbeck, Kevin Bisdom, Fabian Lanz, Timothy Park, Eduardo Barbaro, Stephen Bourne, Franz Kiraly, Stijn Bierman, Chris Harris, Keimpe Nevenzeel, Taco den Bezemer, Jan van Elk
Summary: This study investigates induced seismicity in the Groningen gas field in the Netherlands due to ongoing depletion, using machine learning techniques to predict seismic activity rates. By combining rock mechanical experiments and physical-statistical models, it is found that seismic forecasts generated by Support Vector Machines outperform baselines significantly.
COMPUTATIONAL GEOSCIENCES
(2021)
Article
Environmental Sciences
Tomos Phillips, Tom Bultreys, Kevin Bisdom, Niko Kampman, Stefanie Van Offenwert, Arjen Mascini, Veerle Cnudde, Andreas Busch
Summary: This study systematically examined the impact of roughness on fluid flow properties of fractures by 3D printing fractures with controlled surface roughness. The experiments showed that roughness enhances void space persistence and fluid flow, with rougher fractures exhibiting significant permeability increases. Below 20 micrometers, fracture contact area was found to be a better predictor of permeability than roughness. Such findings are crucial for models predicting fracture flow in the deep subsurface.
WATER RESOURCES RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Jeroen Snippe, Niko Kampman, Kevin Bisdom, Tim Tambach, Rafael March, Christine Maier, Tomos Phillips, Nathaniel Forbes Inskip, Florian Doster, Andreas Busch
Summary: In this paper, the DETECT experimental-modelling workflow is applied to the Green River site in Utah to analyze a rare case of natural CO2 reservoir leakage. The methodology accurately predicts leakage locations and rates, providing valuable insights into CO2 leakage mechanisms along faults.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2022)
Article
Geochemistry & Geophysics
Pierre-Olivier Bruna, Julien Straubhaar, Rahul Prabhakaran, Giovanni Bertotti, Kevin Bisdom, Gregoire Mariethoz, Marco Meda
Article
Computer Science, Interdisciplinary Applications
K. Bisdom, H. M. Nick, G. Bertotti
COMPUTERS & GEOSCIENCES
(2017)