| EPSRC Reference: |
GR/N04478/01 |
| Title: |
USE OF GENETIC ALGORITHMS TO IMPROVE RESERVOIR CHARACTERISATION |
| Principal Investigator: |
Carter, Dr J |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Department of Earth Sciences |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 July 2001 |
Ends: |
30 September 2004 |
Value (£): |
189,338
|
| EPSRC Research Topic Classifications: |
|
| EPSRC Industrial Sector Classifications: |
| Manufacturing |
No relevance to Underpinning Sectors |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
This project will be doing applied research on the problem of accurately describing our knowledge of the internal structure of hydrocarbon reservoirs. The Energy Foresight Panel gave a high priority to incresing yields from hydrocarbon reservoirs by more accurate characterisation. Which will lead to the improved economic competitiveness of the United Kingdom.Reservoir characterisation is the process of matching the predictions of a numerical model to the measurements obtained from a particular reservoir. The measurements made at wells during production, such as pressures and volume flow rates, are particularly useful in this process. The predictions of the numercial model can be changed by adjusting a set of internal model parameters. We wish to find those sets of parameter values that lead to accurate predictions.Genetic Algorithms are an optimisation technique, that uses processes inspired by the genetics of nature. Experience has shown that algorithms of this type are extremely efficient at identifying good solutions to difficult problems, like that of reservoir characterisation.This project will develop a version of the Genetic Algorithm to help quantify uncertainty, using a Bayesian statistical framework, in the predictions of the characterised numerical model.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.imperial.ac.uk |