Incorporation of Production Data in a Reservoir Description Process (1995)

Incorporation of Production Data in a Reservoir Description Process Hari K. Oetomo; Hari K. Oetomo Santa Fe Energy Resources Ltd. Search for other works by this author on: This Site Google Scholar Mohan G. Kelkar Mohan G. Kelkar U. of Tulsa Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Asia Pacific Oil and Gas Conference, Kuala Lumpur, Malaysia, March 1995. Paper Number: SPE-29316-MS https://doi.org/10.2118/29316-MS Published: March 20 1995 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Oetomo, Hari K., and Mohan G. Kelkar. "Incorporation of Production Data in a Reservoir Description Process." Paper presented at the SPE Asia Pacific Oil and Gas Conference, Kuala Lumpur, Malaysia, March 1995. doi: https://doi.org/10.2118/29316-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 Asia Pacific Oil and Gas Conference and Exhibition Search Advanced Search SPE MembersAbstractIn this study, we propose a technique to include production data as a part of the constraint in a reservoir description process. Based on the simulation studies, we observed that, during secondary recovery performance, the production parameters such as water breakthrough are closely tied to the connectivity between injectors and producers. Using this relationship, we introduce a method which allows incorporation of production data as a part of the constraint through an equivalent static parameter. For the purpose of incorporating this information, we use the method of simulated annealing.Using this connectivity function along with the near-well permeability, we show that the uncertainty in the reservoir description is significantly reduced. We validate our results by conducting the reservoir simulation for a full field scale simulation based on the Burbank Field in Oklahoma. These results clearly indicate the need for the incorporation of production data in generating the reservoir description.IntroductionReservoir description, by definition, is a process of reservoir modeling by integrating all available data. The result could be a description of the distribution of reservoir facies, or any other qualitative data, or porosity and permeability distributions, or any other quantitative parameters. The required data come from static information, such as core and log data and geologic information, and dynamic data such as well test data and production data.One of the methods for describing the quantitative reservoir variables at unsampled locations is conditional simulation. This method honors input conditioning data from various sources and of different scales. These conditioning data could be variograms which quantify spatial relationship, or they may include core and log data. One technique that fits this conditional simulation definition is simulated annealing.Simulated annealing is also one of the most flexible conditional simulation methods. This technique is capable of accommodating various parameters for conditioning data, even though they are totally unrelated and have different units and magnitudes. In conventional simulated annealing, static constraints such as well log and core log data and variograms are used for describing the reservoir properties.P. 527 Keywords: upstream oil & gas, permeability, spe 29316, dynamic constraint, constraint, incorporation, connectivity, information, reservoir description process, artificial intelligence Subjects: Improved and Enhanced Recovery, Waterflooding This content is only available via PDF. 1995. Society of Petroleum Engineers You can access this article if you purchase or spend a download.