Conditioning Integrated Geological Models to Dynamic Flow Data of Giant Saudi Arabian Reservoir

Autor: Basem A. Rahmeh, Amit Sarkar, Mohammed A. Al Khalifa, Bassam A. Al Awami, Hisham M. Al Qassab
Rok vydání: 2001
Předmět:
Zdroj: All Days.
DOI: 10.2118/71319-ms
Popis: A fine-scale full-field multimillion cell geologic model of a giant Saudi Arabian carbonate reservoir has been successfully conditioned to a thirty-year production/injection history. This represents the first worldwide case study of the technique for such a complicated reservoir with extensive flow history. The initial geologic model was created based on log-derived porosity data, facies information, and a 3-d stochastic seismic inversion model. It was generated geostatistically using a sequential Gaussian simulation with collocated cokriging algorithm. It was desired to condition this initial model based on a thirty-year injection/production history. Fast streamline simulations were performed on the geological porosity and permeability models using field injection/production constraints. The flow conditioning algorithm iteratively modified the permeability field such that simulated injection/production behavior more closely approached the supplied injection/production history. The algorithm uses analogies to seismic travel time and tomography, involving iterative linearization of the time-of-flight expression about a known initial model based on static data. The final flow conditioned model was then validated using more thorough streamline simulations verifying improvements in the match of the simulated injection/production response to that of the historical response. Additionally, inspection of the difference between the initial and the flow-conditioned final model showed permeability modifications followed a strong directional trend consistent with well-known geological trends. Results from the final conditioned models showed more than 30% improvement in terms of history-matching than that of initial model.
Databáze: OpenAIRE