000			04069pam a22003971i 4500
999			_c10178 _d10178
001			6266090
005			20190912111316.0
006			m || d |
007			cr |||||||||||
008			150416s2015 ne s|||| 000|0|eng|d
015			_aGBB552834 _2bnb
020			_a9780128030707 (pbk.)
020			_a9780128030714 (PDF ebook)
035			_aark:/81055/vdc_100026050588.0x000001
035			_a(Uk)017166226
037			_a9780128030714 _bIngram Content Group
040			_aStDuBDS _beng _cStDuBDS _dUk _erda _epn
082	0	4	_a627.86 _223 _bJ.M.E
100			_aJamshidnezhad, Mohammad _eauthor. _933520
245	1	0	_aExperimental design in petroleum reservoir studies / _cMohammad Jamshidnezhad.
264		1	_aAmsterdam : _bGulf Professional Publishing, _c2015.
300			_ax, 176 pages : _billustrations ; _c24 cm.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
505	0		_aFront Cover; Experimental Design in Petroleum Reservoir Studies; Copyright Page; Contents; Biography; Preface; 1 Introduction; 1.1 Petroleum reservoirs; 1.2 Petroleum rock properties; 1.3 Volumetric calculations in a reservoir; 1.4 Reservoir heterogeneity; 1.5 Reservoir models; 1.6 Experimental design; 2 Reservoir modeling; 2.1 Introduction; 2.2 Sources of data for reservoir modeling; 2.3 Reservoir characterization; 2.3.1 Geophysical and geological data; 2.3.2 Engineering data; 2.3.2.1 Core data; 2.3.2.2 Well logging data; 2.3.2.3 Pressure transient data. 2.3.2.4 Properties of reservoir fluids2.3.2.5 Rock-Fluid data; 2.3.2.6 Initialization data; 2.3.2.7 Well and recurrent data; 2.4 Mathematical modeling; 2.4.1 Decline curve analysis; 2.4.2 Analytical models; 2.4.3 Numerical simulation; 2.5 Model verification; 3 Experimental design in reservoir engineering; 3.1 Introduction; 3.2 Errors in mathematical modeling; 3.3 Uncertainty in reservoir data; 3.3.1 Uncertainty in geophysical data; 3.3.2 Uncertainty in geological data; 3.3.3 Uncertainty in dynamic data; 3.3.4 Uncertainty in PVT data; 3.3.5 Uncertainty in field performance data. 3.4 Uncertainty analysis3.4.1 History matching; 3.4.2 Stochastic methods for uncertainty analysis; 3.4.2.1 Basic definitions; 3.4.3 Monte Carlo simulation; 3.5 Experimental design; 3.5.1 Basic rules in experimental design; 3.5.2 Outcomes of experimental design; 3.5.3 Designs; 3.5.3.1 Two-level full factorial designs; 3.5.3.2 Two-level fractional factorial designs; 3.5.3.3 Plackett-Burman design; 3.5.3.4 Three-level designs; 3.5.3.5 Latin hypercube design; 3.5.4 Response surface; 3.5.5 Sensitivity analysis; 3.5.5.1 Sensitivity analysis work flow; 4 Case studies; 4.1 Introduction. 4.2 Case study 14.2.1 Ninth SPE comparative solution problem; 4.2.2 Uncertain parameters; 4.2.3 Experimental design; 4.2.4 Response surfaces; 4.3 Case study 2; 4.3.1 Undersaturated fractured reservoir in the middle east; 4.3.2 Uncertainty parameters; 4.4 Case study 3; 4.4.1 PUNQ case; 4.4.2 Uncertain parameters; 4.5 Case study 4; 4.5.1 Steam assisted gravity drainage in a heavy oil reservoir; 4.5.2 Experimental design; 4.6 Case study 5; 4.6.1 Barnett shale gas reservoir; 4.6.2 Reservoir modeling; 4.6.3 Uncertainty parameters; 4.6.4 Experimental design; 4.7 Case study 6. 4.7.1 Miscible WAG injection4.7.2 Reservoir modeling; 4.7.3 Uncertain parameters; 4.7.4 Experimental design; Appendix: F distribution values; References; Index.
506			_aOwing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact [email protected] _5StEdNL
588			_aDescription based on CIP data; item not viewed.
590			_aThis catalogue record is generated as a result of Non Print Legal Deposit processing
650		0	_aReservoirs _xDesign and construction.
650		0	_aPetroleum engineering.
776	0	8	_iPrint version _z9780128030707
856	4	0	_uhttps://nls.ldls.org.uk/welcome.html?ark:/81055/vdc_100026050588.0x000001 _zView item
942			_2ddc _cBK