Integrating experimental study and intelligent modeling of pore evolution in the Bakken during simulated thermal progression for CO2 storage goals
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H. Motra | Mohammad-Reza Mohammadi | Bo Liu | A. Hemmati-Sarapardeh | Mehdi Ostadhassan | Chao Wang | Li Fu | Elham Fattahi | Bodhisatwa Hazra
[1] M. Ostadhassan,et al. Experimental investigation and intelligent modeling of pore structure changes in type III kerogen-rich shale artificially matured by hydrous and anhydrous pyrolysis , 2023, Energy.
[2] M. Ostadhassan,et al. Pore structure characterization of solvent extracted shale containing kerogen type III during artificial maturation: Experiments and tree-based machine learning modeling , 2023, Energy.
[3] M. Ostadhassan,et al. Pore structure evolution of Qingshankou shale (kerogen type I) during artificial maturation via hydrous and anhydrous pyrolysis: Experimental study and intelligent modeling , 2023, Energy.
[4] H. Yue,et al. Prediction of CO2 emissions in China by generalized regression neural network optimized with fruit fly optimization algorithm , 2023, Environmental Science and Pollution Research.
[5] Xianfu Huang,et al. Evolution of pore structure in shale formation rocks after compression , 2023, Energy.
[6] Zhonghu Wu,et al. Impact of tectonic deformation on shale pore structure using adsorption experiments and 3D digital core observation: A case study of the Niutitang Formation in Northern Guizhou , 2023, Energy.
[7] M. Ostadhassan,et al. Evolution of porosity in kerogen type I during hydrous and anhydrous pyrolysis: Experimental study, mechanistic understanding, and model development , 2023, Fuel.
[8] T. Gentzis,et al. Physico-chemical variations of shale with artificial maturation: In the presence and absence of water , 2023, Geoenergy Science and Engineering.
[9] Daqing He,et al. Effect of Petroleum Generation and Retention on Nanopore Structure Change in Laminated and Massive Shales—Insights from Hydrous Pyrolysis of Lacustrine Source Rocks from the Permian Lucaogou Formation , 2023, ACS omega.
[10] M. Soltanian,et al. An integrated multi-scale model for CO2 transport and storage in shale reservoirs , 2023, Applied Energy.
[11] M. Schaffie,et al. Experimental measurement and modeling of asphaltene adsorption onto iron oxide and lime nanoparticles in the presence and absence of water , 2023, Scientific Reports.
[12] T. Gentzis,et al. Nano- to macro-scale structural, mineralogical, and mechanical alterations in a shale reservoir induced by exposure to supercritical CO2 , 2022, Applied Energy.
[13] Qamar Yasin,et al. Impact of thermal maturity on the diagenesis and porosity of lacustrine oil-prone shales: Insights from natural shale samples with thermal maturation in the oil generation window , 2022, International Journal of Coal Geology.
[14] Jiang Liu,et al. Comprehensive Review of Property Alterations Induced by CO2–Shale Interaction: Implications for CO2 Sequestration in Shale , 2022, Energy & Fuels.
[15] Huizhen Li,et al. Sustainable development index of shale gas exploitation in China, the UK, and the US , 2022, Environmental science and ecotechnology.
[16] S. Hawthorne,et al. CO2-Enhanced Oil Recovery Mechanism in Canadian Bakken Shale , 2022, Minerals.
[17] J. Sheng,et al. Changes of pore structures and permeability of the Chang 73 medium-to-low maturity shale during in-situ heating treatment , 2022, Energy.
[18] D. Yang,et al. Comparative study on the pyrolysis behavior and pyrolysate characteristics of Fushun oil shale during anhydrous pyrolysis and sub/supercritical water pyrolysis , 2022, RSC advances.
[19] Yuegang Tang,et al. Pore Structure of Organic Matter in the Lacustrine Shale from High to Over Mature Stages: An Approach of Artificial Thermal Simulation , 2022, ACS omega.
[20] Abdolhossein Hemmati-Sarapardeh,et al. Integrating advanced soft computing techniques with experimental studies for pore structure analysis of Qingshankou shale in Southern Songliao Basin, NE China , 2022, International Journal of Coal Geology.
[21] Xiaoping Liu,et al. The evolution of pore structure heterogeneity during thermal maturation in lacustrine shale pyrolysis , 2022, Journal of Analytical and Applied Pyrolysis.
[22] H. Pu,et al. Evaluation of CO2 enhanced oil recovery in unconventional reservoirs: Experimental parametric study in the Bakken , 2022, Fuel.
[23] Meng Wang,et al. CH4 and CO2 Adsorption Characteristics of Low-Rank Coals Containing Water: An Experimental and Comparative Study , 2022, Natural Resources Research.
[24] Abdolhossein Hemmati-Sarapardeh,et al. Modeling of nitrogen solubility in normal alkanes using machine learning methods compared with cubic and PC-SAFT equations of state , 2021, Scientific Reports.
[25] Jiang Zhe,et al. Oil property sensing array based on a general regression neural network , 2021 .
[26] Lei Chen,et al. Diagenetic evolution sequence and pore evolution model of Mesoproterozoic Xiamaling organic-rich shale in Zhangjiakou, Hebei, based on pyrolysis simulation experiments , 2021 .
[27] Xinxin Cao,et al. Pore formation and evolution of organic-rich shale during the entire hydrocarbon generation process: Examination of artificially and naturally matured samples , 2021 .
[28] Zhengming Yang,et al. Mechanism of CO2 enhanced oil recovery in shale reservoirs , 2021, Petroleum Science.
[29] Dameng Liu,et al. The behavior and efficiency of methane displaced by CO2 in different coals and experimental conditions , 2021 .
[30] P. Hackley,et al. Relating Tmax and hydrogen index to vitrinite and solid bitumen reflectance in hydrous pyrolysis residues: Comparisons to natural thermal indices , 2021 .
[31] M. Schaffie,et al. Application of cascade forward neural network and group method of data handling to modeling crude oil pyrolysis during thermal enhanced oil recovery , 2021 .
[32] A. Ruhan,et al. A comprehensive analysis of the pyrolysis effects on oil shale pore structures at multiscale using different measurement methods , 2021, Energy.
[33] Rui Liu,et al. The effect of tectonic deformation and preservation condition on the shale pore structure using adsorption-based textural quantification and 3D image observation , 2021 .
[34] Luofu Liu,et al. Gas Adsorption Characterization of Pore Structure of Organic-rich Shale: Insights into Contribution of Organic Matter to Shale Pore Network , 2021, Natural Resources Research.
[35] H. Sanei. Genesis of solid bitumen , 2020, Scientific Reports.
[36] Zhiye Gao,et al. A review of shale pore structure evolution characteristics with increasing thermal maturities , 2020, Advances in Geo-Energy Research.
[37] A. Allen,et al. Shale pore alteration: Potential implications for hydrocarbon extraction and CO2 storage. , 2020, Fuel.
[38] Aref Hashemi Fath,et al. Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems , 2020 .
[39] J. Killough,et al. Evaluation of CO2 injection into shale gas reservoirs considering dispersed distribution of kerogen , 2020 .
[40] Q. Hu,et al. Nanoscale Pore Network Evolution of Xiamaling Marine Shale during Organic Matter Maturation by Hydrous Pyrolysis , 2020 .
[41] Z. Pan,et al. Application of nuclear magnetic resonance (NMR) in coalbed methane and shale reservoirs: A review , 2020, International Journal of Coal Geology.
[42] N. Pekney,et al. Optimization of enhanced oil recovery operations in unconventional reservoirs , 2020 .
[43] Songyan Li,et al. Static and dynamic behavior of CO2 enhanced oil recovery in shale reservoirs: Experimental nanofluidics and theoretical models with dual-scale nanopores , 2019 .
[44] O. Rozenbaum,et al. Effect of organic matter composition on source rock porosity during confined anhydrous thermal maturation: Example of Kimmeridge-clay mudstones , 2019, International Journal of Coal Geology.
[45] Yujie Yuan,et al. A comprehensive pore structure study of the Bakken Shale with SANS, N2 adsorption and mercury intrusion , 2019, Fuel.
[46] N. Harris,et al. A model for porosity evolution in shale reservoirs: An example from the Upper Devonian Duvernay Formation, Western Canada Sedimentary Basin , 2019, AAPG Bulletin.
[47] Feiteng Wang,et al. Influential factors and model of shale pore evolution: A case study of a continental shale from the Ordos Basin , 2019, Marine and Petroleum Geology.
[48] Keyu Liu,et al. Nanopore Structure and Fractal Characteristics of Lacustrine Shale: Implications for Shale Gas Storage and Production Potential , 2019, Nanomaterials.
[49] Guoping Zhang,et al. Statistical modelling of compressive strength controlled by porosity and pore size distribution for cementitious materials , 2019, Cement and Concrete Composites.
[50] Reza Barati,et al. A review of the current progress of CO2 injection EOR and carbon storage in shale oil reservoirs , 2019, Fuel.
[51] M. L. Porter,et al. Effectiveness of supercritical-CO2 and N2 huff-and-puff methods of enhanced oil recovery in shale fracture networks using microfluidic experiments , 2018, Applied Energy.
[52] Mehdi Ostadhassan,et al. Estimating permeability of shale-gas reservoirs from porosity and rock compositions , 2018, GEOPHYSICS.
[53] R. Rezaee,et al. Nanopore structures of isolated kerogen and bulk shale in Bakken Formation , 2018, Fuel.
[54] Wang Yifeng,et al. Modeling of the whole hydrocarbon-generating process of sapropelic source rock , 2018, Petroleum Exploration and Development.
[55] Jing Li,et al. Water adsorption and its impact on the pore structure characteristics of shale clay , 2018 .
[56] Yu-Shu Wu,et al. Advances in improved/enhanced oil recovery technologies for tight and shale reservoirs , 2017 .
[57] James A. Sorensen,et al. Advancing CO2 enhanced oil recovery and storage in unconventional oil play—Experimental studies on Bakken shales , 2017 .
[58] Mehdi Ostadhassan,et al. Nanoscale pore structure characterization of the Bakken shale in the USA , 2017 .
[59] Wenping Liu,et al. Pore evolution characteristic of shale in the Longmaxi Formation, Sichuan Basin , 2017 .
[60] Yapu Zhao,et al. Characterization of pore structure, gas adsorption, and spontaneous imbibition in shale gas reservoirs , 2017 .
[61] Lingzhi Xie,et al. Three-dimensional characterisation of multi-scale structures of the Silurian Longmaxi shale using focused ion beam-scanning electron microscopy and reconstruction technology , 2017 .
[62] V. Manović,et al. A review of developments in carbon dioxide storage , 2017 .
[63] R. Haszeldine,et al. The physical characteristics of a CO2 seeping fault: the implications of fracture permeability for carbon capture and storage integrity , 2017 .
[64] M. Ostadhassan,et al. Microstructural and geomechanical analysis of Bakken shale at nanoscale , 2017 .
[65] P. Peng,et al. Evolution of organic matter and nanometer-scale pores in an artificially matured shale undergoing two distinct types of pyrolysis: A study of the Yanchang Shale with Type II kerogen , 2017 .
[66] X. Pang,et al. Pore structure and fractal characteristics of organic-rich shales: A case study of the lower Silurian Longmaxi shales in the Sichuan Basin, SW China , 2017 .
[67] Pengfei Wang,et al. Fractal characteristics of nano-pores in the Lower Silurian Longmaxi shales from the Upper Yangtze Platform, south China , 2016 .
[68] Weiqi Wang,et al. Improved pore-structure characterization in shale formations with FESEM technique , 2016 .
[69] Yiyu Lu,et al. Effects of supercritical CO2 treatment time, pressure, and temperature on microstructure of shale , 2016 .
[70] Mingfeng Zhang,et al. Formation and development of the pore structure in Chang 7 member oil-shale from Ordos Basin during organic matter evolution induced by hydrous pyrolysis , 2015 .
[71] Martin J. Kennedy,et al. Is organic pore development in gas shales influenced by the primary porosity and structure of thermally immature organic matter , 2015 .
[72] J. P. Olivier,et al. Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC Technical Report) , 2015 .
[73] Lamei Lin,et al. Experimental investigation of thermal maturation on shale reservoir properties from hydrous pyrolysis of Chang 7 shale, Ordos Basin , 2015 .
[74] M. Lewan,et al. Evaluation of the petroleum composition and quality with increasing thermal maturity as simulated by hydrous pyrolysis: A case study using a Brazilian source rock with Type I kerogen , 2015 .
[75] A. Schimmelmann,et al. Small-Angle and Ultrasmall-Angle Neutron Scattering (SANS/USANS) Study of New Albany Shale: A Treatise on Microporosity , 2015 .
[76] X. Xiao,et al. Evolution of nanoporosity in organic-rich shales during thermal maturation , 2014 .
[77] A. Bassi,et al. Oil shale and climate policy in the shift to a low carbon and more resilient economy , 2014 .
[78] P. Peng,et al. The effect of oil expulsion or retention on further thermal degradation of kerogen at the high maturity stage: A pyrolysis study of type II kerogen from Pingliang shale, China , 2014 .
[79] A. Schimmelmann,et al. Porosity of Devonian and Mississippian New Albany Shale across a maturation gradient: Insights from organic petrology, gas adsorption, and mercury intrusion , 2013 .
[80] Fang Hao,et al. Mechanisms of shale gas storage: Implications for shale gas exploration in China , 2013 .
[81] J. Birdwell,et al. Updated methodology for nuclear magnetic resonance characterization of shales. , 2013, Journal of magnetic resonance.
[82] Q. Hu,et al. Estimating permeability using median pore-throat radius obtained from mercury intrusion porosimetry , 2013 .
[83] J. Wilcox,et al. Molecular simulation of CO2 adsorption in micro- and mesoporous carbons with surface heterogeneity , 2012 .
[84] Christopher R. Clarkson,et al. Nanopore-Structure Analysis and Permeability Predictions for a Tight Gas Siltstone Reservoir by Use of Low-Pressure Adsorption and Mercury-Intrusion Techniques , 2012 .
[85] Farzam Javadpour,et al. Atomic-Force Microscopy: A New Tool for Gas-Shale Characterization , 2012 .
[86] R. Marc Bustin,et al. Characterization of gas shale pore systems by porosimetry, pycnometry, surface area, and field emission scanning electron microscopy/transmission electron microscopy image analyses: Examples from the Barnett, Woodford, Haynesville, Marcellus, and Doig units , 2012 .
[87] B. Horsfield,et al. Geochemical evolution of organic-rich shales with increasing maturity: A STXM and TEM study of the Posidonia Shale (Lower Toarcian, northern Germany) , 2012 .
[88] Nacim Betrouni,et al. Fractal and multifractal analysis: A review , 2009, Medical Image Anal..
[89] C. Pan,et al. Kerogen pyrolysis in the presence and absence of water and minerals: Amounts and compositions of bitumen and liquid hydrocarbons , 2009 .
[90] Andreas Busch,et al. Carbon dioxide storage potential of shales , 2008 .
[91] Jean Rouquerol,et al. Reporting Physisorption Data for Gas/Solid Systems , 2008 .
[92] Yanbin Yao,et al. Fractal characterization of adsorption-pores of coals from North China: An investigation on CH4 adsorption capacity of coals , 2008 .
[93] Franz-Josef Ulm,et al. Statistical indentation techniques for hydrated nanocomposites: concrete, bone, and shale , 2007 .
[94] D. Jarvie,et al. Unconventional shale-gas systems: The Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale-gas assessment , 2007 .
[95] D. Do,et al. Pore Characterization of Carbonaceous Materials by DFT and GCMC Simulations: A Review , 2003 .
[96] M. Lewan,et al. Comparison of artificial maturation of lignite in hydrous and nonhydrous conditions , 2003 .
[97] M. Buhmann,et al. Radial basis functions , 2000, Acta Numerica.
[98] M. Lewan. Experiments on the role of water in petroleum formation , 1997 .
[99] Yongchun Tang,et al. Thermal cracking of kerogen in open and closed systems: determination of kinetic parameters and stoichiometric coefficients for oil and gas generation , 1997 .
[100] E. Faber,et al. Empirical carbon isotope/maturity relationships for gases from algal kerogens and terrigenous organic matter, based on dry, open-system pyrolysis , 1996 .
[101] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[102] H. Jacob. Classification, structure, genesis and practical importance of natural solid oil bitumen (“migrabitumen”) , 1989 .
[103] M. Lewan,et al. Generation of Oil-Like Pyrolyzates from Organic-Rich Shales , 1979, Science.
[104] E. Teller,et al. ADSORPTION OF GASES IN MULTIMOLECULAR LAYERS , 1938 .
[105] T. Gentzis,et al. Simulation of thermal maturity in kerogen type II from the Bakken Shale via anhydrous and hydrous pyrolysis , 2023, Proceedings of the 11th Unconventional Resources Technology Conference.
[106] Amir H. Mohammadi,et al. Modeling of gas viscosity at high pressure-high temperature conditions: Integrating radial basis function neural network with evolutionary algorithms , 2022 .
[107] Shangbin Chen,et al. Pore structure and heterogeneity of shale gas reservoirs and its effect on gas storage capacity in the Qiongzhusi Formation , 2021 .
[108] A. Tatar,et al. Application of Radial Basis Function (RBF) neural networks to estimate oil field drilling fluid density at elevated pressures and temperatures , 2019, Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles.
[109] A. Varma,et al. Influence of organic and inorganic content on fractal dimensions of Barakar and Barren Measures shale gas reservoirs of Raniganj basin, India , 2018 .
[110] Jiamo Fu,et al. Gas generation of shale organic matter with different contents of residual oil based on a pyrolysis experiment , 2015 .
[111] Feng Yang,et al. Fractal characteristics of shales from a shale gas reservoir in the Sichuan Basin, China , 2014 .
[112] J. Urai,et al. A comparative study of representative 2D microstructures in Shaly and Sandy facies of Opalinus Clay (Mont Terri, Switzerland) inferred form BIB-SEM and MIP methods , 2014 .
[113] Christopher R. Clarkson,et al. Pore structure characterization of North American shale gas reservoirs using USANS/SANS, gas adsorption, and mercury intrusion , 2013 .
[114] M. Lewan,et al. Role of water in hydrocarbon generation from Type-I kerogen in Mahogany oil shale of the Green River Formation , 2011 .
[115] Amanda M. M. Bustin,et al. Impact of Shale Properties on Pore Structure and Storage Characteristics , 2008 .
[116] E. Barrett,et al. (CONTRIBUTION FROM THE MULTIPLE FELLOWSHIP OF BAUGH AND SONS COMPANY, MELLOX INSTITUTE) The Determination of Pore Volume and Area Distributions in Porous Substances. I. Computations from Nitrogen Isotherms , 1951 .