000			02672nab a2200253 4500
005			20260520000317.0
008			260224s2014 xxu ing
041			_aInglés
245	0	0	_aAutomatic calibration of stratigraphic forward models for predicting reservoir presence in exploration
260			_a _b _csept. 2014
270			_a20/11/2014 ; 20/11/2014
300			_a24 p. ; 1811-1835
520			_aTranscripción del resumen del autor: Understanding and predicting reservoir presence and characteristics at regional to basin scales is important for evaluating risk and uncertainty in hydrocarbon exploration. Simulating reservoir distribution within a basin by a stratigraphic forward model enables the integration of available prior information with fundamental geologic processes embedded in the numerical model. Stratigraphic forward model predictions can be significantly improved by calibrating the models to independent constraints, such as thicknesses from seismic or well data. A three-dimensional basin-scale stratigraphic forward-modeling tool is coupled with an inversion algorithm. The inversion algorithm is a modification of the neighborhood algorithm (a type of genetic algorithm), which is designed to sample complex multimodal objective functions and is parallelized on computer clusters to accelerate convergence. The process generates a set of representative geological models that are consistent with prior ranges for uncertain parameters, calibration constraints, and associated tolerance thresholds. The workflow is first demonstrated on two data sets: a synthetic example based on a clastic passive margin and a real hydrocarbon exploration example for slope and basin-floor stratigraphic traps in the Neocomian (Lower Cretaceous) of the West Siberian Basin. The analysis of calibrated models provides constraints on stratigraphic controls, and allows prediction of locations with higher potential to develop stratigraphic traps. These locations are related to complex interactions between paleobathymetry, subsidence, eustatic fluctuations, characteristics of sediment-input sources, and sediment-transport parameters. Results show the potential of stratigraphic forward modeling combined with inverse methods as an additional tool to support conventional play-based exploration and reservoir-presence prediction.
581			_a9
773	0		_tAAPG Bulletin _g98
942			_cARTICULO
100	1		_aFalivene, O. _943496
100	1		_aFrascati, A. _954246
100	1		_aGesbert, S. _954247
100	1		_aPickens, J. _954248
100	1		_aHsu, Y. _954249
100	1		_aRovira, A. _954250
999			_c188666 _d188666