Neural Network Design and Optimization for Porosity Estimation with Using Seismic Attributs

Please enable javascript in your browser.

Mesgari, Davood | 2009

429 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39713 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Pishvaie, Mahmoud Reza; Badakhshan, Amir
Abstract:
Todays, the most important thing in the oil and gas fields is how to find the main properteis as porosity and permeability; therefere in this project was tryed to estimate to correct porosity in the reservoir area with using estimated porosity from siesmic attributes. For this study Mishrif reservoir in Sarvak formation was selected and the used data are 3D siesmic and also corrected porosity estimated by analysing siesmic attributes from five wells. For combination sresmic and log data, Simulated Annealing was seleted as a Neural Network optimizer for this project.
Keywords:
Optimization ; Neural Network ; Porosity ; Seismic Attribute

No TOC