History matching Using Time-lapse Seismic (HUTS)

Abstract

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThis paper describes the results of a two-year ECsponsored project which uses new information provided by repeated seismic acquisitions (4D seismic data) jointly with production data in an extended, efficient and consistent history matching process. This process involves a simultaneous minimisation of the mismatch between all types of measured and simulated data. A gradient-based technique has been developed and tested both in a prototype and in commercial computer-aided history matching software. We show results on real cases, located in the North Sea and the Adriatic Sea, and discuss key issues of such seismic history matching. Most applications of time-lapse seismic to date have been qualitative or semi-quantitative. We propose a quantitative workflow. The seismic contribution in the objective function is defined in terms of elastic parameter variations within the reservoir and the data have been properly scaled using an estimate of seismic uncertainty (covariance matrix). The "observed" values are obtained by inversion of the seismic signal. For the "modelled" values, the flow simulator is coupled with a petro-elastic model to convert simulated fluid and static rock properties into simulated elastic properties. The techniques described in this paper allow us to reconcile production history matched models with 4D information, and to reduce the uncertainty in reservoir properties, which haven't a real impact on the well history, but which significantly drive future behaviour of the field. This is a further step towards the necessary integration of available data for better predictive simulations. Focusing on quantitative combined with qualitative use of data enhances the multidisciplinary approach. . ( m J m J m J seis prod

Enhanced Reservoir Monitoring using Coupled Electromagnetics and Flow Modeling

“…However, while direct measurements are difficult and expensive to obtain, indirect measurements of reservoir properties are cheap and relatively easy to perform. Such measurements include time lapse seismic and electromagnetic imaging data (Gosselin et al, 2003;Horesh and Haber, 2011). Our interest in this paper is on using low frequency electromagnetic data.…”

“…The field of reservoir monitoring using geophysical methods is rather new (Gosselin et al, 2003;Lumley, 2001;Nenna et al, 2011). All work known to us uses geophysical imaging (typically 4D seismic) to image the reservoir, practically ignoring the reservoir flow equations in the imaging step.…”

History Matching of Production and 4D Seismic Data: Application to the Girassol Field, Offshore Angola

“…The development of assisted history matching techniques with 4D seismic data is a very active domain (see Gosselin et al, 2003;Lygren et al, 2005;Skjervheim et al, 2007;Stephen et al, 2008;Peters et al, 2010). It is a significant improvement towards a quantitative use of 4D seismic data in reservoir modeling.…”

Scale and Process Dependent Model Errors in Seismic History Matching

“…It also improves on gradient-based methods, such as Steepest Descent, Gauss-Newton and Levenberg-Marquardt algorithms (e.g. Lépine et al, 1999;Dong and Oliver;2005;Gosselin et al, 2003;Mezghani et al, 2004), which are good at finding local misfit minima but can fail to find the global minimum. Our approach is also faster than stochastic methods such as genetic algorithms and simulated annealing, which often require more simulations and may have slower convergence rates.…”