Practical Application of Gocad in San Joaquin Valley Business Unit - Abstract for Chevron Worksystem Technology Transfer / Reservoir Characterization Forum E.L. von Dohlen, W.S. Fong, L. Lederhos, et. al. July, 2001

The "traditional" Gocad workflow for an engineer usually ends in a detailed geostatistical model that is further scaled up for time-consuming, finite difference reservoir simulations.  This perception limits the use of Gocad by our engineers in their daily responsibilities.  Our paper describes recent practical uses of Gocad in the SJVBU, and we hope to show the "low tech", but more flexible uses of Gocad.  These can help to make faster engineering decisions.  We hope that this paper will promote more discussions on simple engineering applications of Gocad.. Examples of applications are classified into a few categories: (1)  Horizontal Well Planning (2)  Reservoir Characterization (3) Production Analysis (4) Data Integration (5)  New Things we are Trying ........

Frontsim streamline flow potential visualization on Gocad, demonstrating injection support to horizontal producers in a steam drive.  Analysis yields  'injector to producer' allocation factors used in pattern injection rate optimization.

Objective: Test pattern allocation based on streamline for improved steam drive monitoring.  Allocation factors are used to construct DSS pattern groups and utilized for steam placement/oil production analysis for optimization of steam placement. Reduce Gocad model construction timeline applying clean-up of data on the Gocad platform.  Seek methodology through the application of scripts and neural network for the rapid population of the earth model for simulation analysis.  Tool essential for timely application of reservoir simulation. Analyze the impact of horizontal producers on the flow geometry of steam drive patterns.  Quantify the allocation factors and production gains by this technology.

Automated excel spreadsheet deriving injection string  performance and rate recommendation.  Response for an injector is defined by allocation factors derived from a mass-balance streamline simulation.  Efficiency  is defined by slope of a  linear best fit curve through  time shifted "injection to production response" pairs.  Flags key on economic performance criteria for injection rate change recommendations.