Assisted history matching using artificial neural network based global optimization method – Applications to Brugge field and a fractured Iranian reservoir-Reference-Cited by-同舟云学术

Assisted history matching using artificial neural network based global optimization method – Applications to Brugge field and a fractured Iranian reservoir

Published:2014-11 Issue: Volume:123 Page:46-61
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Foroud Toomaj,Seifi Abbas,AminShahidi Babak

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference47 articles.

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2. Al-Shamma, B., Teigland, R., 2006. History matching of the valhall field using a global optimization method and uncertainty assessment. SPE-100946 Presented at the SPE Annual Technical Conference and Exhibition. SPE,San Antonio, TX.

3. Anterion, F., Eymard, R., Karcher, B., 1989a. Use of Parameter Gradients for Reservoir History Matching. SPE-18433 Presented at the SPE Symposium on Reservoir Simulation. Houston, TX.

4. Anterion, F., Eymard, R., Karcher, B., 1989b. Use of parameter gradients for reservoir history matching. SPE-18433 Presented at the SPE Symposium on Reservoir Simulation. SPE, Houston.

5. Calculating optimal parameters for history matching;Bissell,1994

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