Method of controlling development of an oil or gas reservoir

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Earth science

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

706929, G06F 1900

Patent

active

060029854

ABSTRACT:
A method controlling development of an oil or gas reservoir uses a neural network and genetic algorithm program to define a neural network topology and the optimal inputs for that topology. The topology is defined from identified and selected (1) parameters associated with the formation or formations in which actual wells are drilled in the reservoir and (2) parameters associated with the drilling, completion and stimulation of those wells and (3) parameters associated with the oil or gas production from the wells. Subsequent drilling, completion and stimulation of the reservoir is determined and applied based on hypothetical alternatives input to the topology and resulting outputs.

REFERENCES:
patent: 5251286 (1993-10-01), Wiener et al.
patent: 5444619 (1995-08-01), Hoskins et al.
D. S. McVey, Shahab Mohaghegh, and Khashayar Aminian: "Identification of Parameters Influencing the Response of Gas Storage Wells to Hydraulic Fracturing With the Aid of a Neural Network," Society of Petroleum Engineers Paper No. 29159, Eastern Regional Conference & Exhibition, Charleston, WV (Nov. 1994).
Mohaghegh, S., and Ameri, S.: "Artificial Neural Network As A Valuable Tool For Petroleum Engineers," Society of Petroleum Engineers Paper No. 29220 (1995).
A. C. White, D. Molnar, K. Aminian, S. Mohaghegh, S. Ameri, P. Esposito: "The Application of ANN for Zone Identification in a Complex Reservoir," Society of Petroleum Engineers Paper No. 30977, SPE Eastern Regional Conference & Exhibition, Morgantown, WV (Sep. 1995).
Mohaghegh, S., Aminian, K., Ameri, S., and McVey, D.; "Predicting Well Stimulation Results in a Gas Storage Field in the Absence of Reservoir Data, Using Neural Networks," Society of Petroleum Engineers Paper No. 31159 (1995).
Mohaghegh, S., Balan, B., Ameri, S., and McVey, D. S.: "A Hybrid, Neuro-Genetic Approach to Hydraulic Fracture Treatment Design and Optimization," Society of Petroleum Engineers Paper No. 36602, SPE Annual Technical Conference & Exhibition, Denver, CO. (Oct. 1996).
Shahab Mohaghegh, M. Hugh Hefner, and Sam Ameri: "Fracture Optimization eXpert (FOX)--How Computational Intelligence Helps the Bottom-Line in Gas Storage; A Case Study," Society of Petroleum Engineers Paper No. 37341, SPE Eastern Regional Conference, Columbus, OH (Oct. 1996).
Nikravesh, M., et al.; "Dividing Oil Fields into Regions with Similar Characteristic Behavior Using Neural Network and Fuzzy Logic Approaches", Fuzzy Information Processing Society, 1996, NAFIPS., 1996 Biennial Conference of the North American, held 19-22, Jun. 1996.
Tsai, Wu-Yuan, et al.; "An ART2-BP Neural Net and Its Application to Reservoir Engineering", Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE Conference on, held Jun. 2---Jul. 2, 1994, pp. 3289-3294 vol. 5. Jun. 1994.
Wong, P.M., et al., "An Improved Technique in Porosity Prediction: A Neural Network Approach", Geoscience and Remote Sensing, IEEE Transaction on, vol. 33, Iss. 4, Jul. 1995, pp. 971-980.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method of controlling development of an oil or gas reservoir does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method of controlling development of an oil or gas reservoir, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method of controlling development of an oil or gas reservoir will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-873167

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.