000			02114nam a2200349 4500
001			0015284
005			20260608202944.0
008			260224s2010 xxu ing
020			_a9781856178556
041			_aInglés
082			_a622.338 A472 0015284
245	0	0	_aEnhanced oil recovery _bField planning and development strategies
260			_aMassachusetts _bElsevier _c2010
270			_a30/08/2012 ; 05/07/2012
300			_axv; 192 p.
520			_aEnhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of EOR projects launched. In this book, the authors propose workflows for EOR evaluations that account for different volumes and quality of information. This flexible workflow has been successfully applied to oil property evaluations and EOR feasibility studies in many oil reservoirs. The methodology associated with the workflow relies on traditional (look-up tables, XY correlations, etc.) and more advanced (data mining for analog reservoir search and geology indicators) screening methods, emphasizing identification of analogues to support decision making. The screening phase is combined with analytical or simplified numerical simulations to estimate full-field performance by using reservoir data-driven segmentation procedures.
773			_g
942			_cLIBRO
100	1		_aAlvarado, Vladimir _918797
100	1		_aManrique, Eduardo _951361
650		0	_aProducción de petróleo _92216
650		0	_aRecuperación secundaria _91115
650		0	_aEstimulación de pozos _980
650		0	_aProducción de petróleo _92216
650		0	_aRecuperación asistida _9696
650		0	_aSimulación _9695
650		0	_aSimulación. Modelos _936638
650		0	_aInyección _98335
650		0	_aFluidos de inyección _927167
650		0	_aEconomía de la producción _98450
999			_c187235 _d187235