History Matching Using Time-lapse Seismic (HUTS)

Abstract

History matching Using Time-lapse Seismic (HUTS) O. Gosselin; O. Gosselin TOTAL E&P UK plc Search for other works by this author on: This Site Google Scholar S. I. Aanonsen; S. I. Aanonsen NORSK HYDRO Search for other works by this author on: This Site Google Scholar I. Aavatsmark; I. Aavatsmark NORSK HYDRO Search for other works by this author on: This Site Google Scholar A. Cominelli; A. Cominelli ENI Search for other works by this author on: This Site Google Scholar R. Gonard; R. Gonard TOTAL E&P UK plc Search for other works by this author on: This Site Google Scholar M. Kolasinski; M. Kolasinski TOTAL E&P UK plc Search for other works by this author on: This Site Google Scholar F. Ferdinandi; F. Ferdinandi ENI Search for other works by this author on: This Site Google Scholar L. Kovacic; L. Kovacic ENI Search for other works by this author on: This Site Google Scholar K. Neylon K. Neylon SCHLUMBERGER Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, October 2003. Paper Number: SPE-84464-MS https://doi.org/10.2118/84464-MS Published: October 05 2003 Connected Content Related to: Reservoir Simulation and Visualization: History Matching Using Time-Lapse Seismic Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Gosselin, O., Aanonsen, S. I., Aavatsmark, I., Cominelli, A., Gonard, R., Kolasinski, M., Ferdinandi, F., Kovacic, L., and K. Neylon. "History matching Using Time-lapse Seismic (HUTS)." Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, October 2003. doi: https://doi.org/10.2118/84464-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search Abstract This paper describes the results of a two-year EC-sponsored 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. Keywords: multiplier, reservoir characterization, objective function, production data, artificial intelligence, inversion, upstream oil & gas, spe annual technical conference, procedure, exhibition Subjects: Well & Reservoir Surveillance and Monitoring, Reservoir Characterization, Fluid Characterization, Reservoir Simulation, Formation Evaluation & Management, Information Management and Systems, Seismic processing and interpretation, Seismic modeling, Four-dimensional and four-component seismic, Reservoir geomechanics Copyright 2003, Society of Petroleum Engineers You can access this article if you purchase or spend a download.