000			02823nam a2200313Ii 4500
001			9781315280813
008			180611s2018 fluab ob 001 0 eng d
020			_a9781315280813
035			_a(OCoLC)1037351725
050		4	_aTD885.5.C3
072		7	_aSCI _x026000 _2bisacsh
072		7	_aTEC _x009010 _2bisacsh
072		7	_aTEC _x010000 _2bisacsh
072		7	_aPHDY _2bicscc
082	0	4	_a363.7387 _223
100	1		_aMohaghegh, Shahab D., _eauthor.
245	1	0	_aData-driven analytics for the geological storage of CO2 / _cby Shahab Mohaghegh.
264		1	_aBoca Raton, FL : _bCRC Press, an imprint of Taylor and Francis, _c2018.
300			_a1 online resource (302 pages) : _b226 illustrations
505	0	0	_tchapter 1 Storage of CO2 in Geological Formations / _rShahab D. Mohaghegh -- _tchapter 2 Petroleum Data Analytics / _rShahab D. Mohaghegh -- _tchapter 3 Smart Proxy Modeling / _rShahab D. Mohaghegh -- _tchapter 4 CO2 Storage in Depleted Gas Reservoirs / _rShahab D. Mohaghegh -- _tchapter 5 CO2 Storage in Saline Aquifers / _rShahab D. Mohaghegh -- _tchapter 6 CO2 Storage in Shale Using Smart Proxy / _rShahab D. Mohaghegh -- _tchapter 7 CO2-EOR as a Storage Mechanism / _rShahab D. Mohaghegh -- _tchapter 8 Leak Detection in CO2 Storage Sites / _rShahab D. Mohaghegh.
520	3		_aData driven analytics is enjoying unprecedented popularity among oil and gas professionals. Many reservoir engineering problems associated with geological storage of CO2 require the development of numerical reservoir simulation models. This book is the first to examine the contribution of Artificial Intelligence and Machine Learning in data driven analytics of fluid flow in porous environments, including saline aquifers and depleted gas and oil reservoirs. Drawing from actual case studies, this book demonstrates how smart proxy models can be developed for complex numerical reservoir simulation models. Smart proxy incorporates pattern recognition capabilities of Artificial Intelligence and Machine Learning to build smart models that learn the intricacies of physical, mechanical and chemical interactions using precise numerical simulations. This ground breaking technology makes it possible and practical to use high fidelity, complex numerical reservoir simulation models in the design, analysis and optimization of carbon storage in geological formations projects.
650		7	_aTECHNOLOGY & ENGINEERING / Chemical & Biochemical. _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING / Environmental / General. _2bisacsh
650		0	_aGeological carbon sequestration.
650		7	_aBUSINESS & ECONOMICS / Infrastructure. _2bisacsh
650		7	_aSOCIAL SCIENCE / General. _2bisacsh
710	2		_aTaylor and Francis.
776	0	8	_iPrint version: _z9781138197145
856	4	0	_uhttps://www.taylorfrancis.com/books/9781315280813 _zClick here to view.
999			_c130968 _d130968