| Title | Undiscovered petroleum accumulation mapping using model-based stochastic simulation |
| Author | Chen, Z; Osadetz, K G |
| Source | Mathematical Geology vol. 38, no. 1, 2006 p. 1-16, https://doi.org/10.1007/s11004-005-9000-1 |
| Year | 2006 |
| Alt Series | Earth Sciences Sector, Contribution Series 2004404 |
| Publisher | Springer Nature |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | Alberta |
| NTS | 84E; 84F; 84K; 84L; 84M; 84N |
| Area | Rainbow sub-basin; West Canadian Sedimantary basin |
| Lat/Long WENS | -120.0000 -116.0000 60.0000 57.0000 |
| Subjects | petroleum; petroleum exploration; modelling; resources; fourier analysis; fourier transform approach; resource assessment; spatial distribution |
| Illustrations | digital images; equations; location maps; graphs |
| Program | Northern Resources Development Program |
| Program | Program of Energy Research and Development
(PERD) |
| Program | Gas Hydrates, Gas Hydrates Management |
| Released | 2006 04 28 |
| Abstract | Stochastic simulation has been proven to be a useful tool for revealing uncertainties in petroleum exploration
and exploitation. The application to petroleum resource assessment would result in
predicted
potential accumulations with geographic locations, a desirable feature for improving both resource
management and exploration efficiency. The associated uncertainties with the prediction provide information
useful for exploration
risk analysis. This attempt has been encumbered by two typical technical
difficulties: biased observation data and lack of information with respect to the undiscovered accumulation
locations. In this paper we propose a model-based simulation
approach, in which models
are used to perform unbiased parameter estimation from biased data and to facilitate the location of
undiscovered petroleum accumulations based on reasoning of available geological and geophysical
observations. The
Fourier transform algorithm is chosen for the simulation because the spatial correlation
and location-specific features can be studied separately from different data sources and integrated
in the simulation in a frequency domain. The proposed
approach is illustrated by an example from
the Rainbow petroleum play in the West Canadian Sedimentary Basin. In the application example, a
pre-1994 exploration history data set was used as input, and the predictions are then checked
against
the locations of post-1993 exploratory drilling results. The comparison of the predictions from the
proposed approach and the traditional conditional simulation shows that the model-based approach
captures the essentials of
geological controls on the spatial distribution of petroleum accumulation,
thus improving the projections of undiscovered petroleum accumulations. |
| GEOSCAN ID | 220254 |
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