Integrated Expert Analytical System for Assessment of Oil-and-Gas Saturation of Strata
Affiliation(s)
Institute of Cybernetics of the Azerbaijan National Academy of Sciences, Baku, Azerbaijan.
Institute of Cybernetics of the Azerbaijan National Academy of Sciences, Baku, Azerbaijan.
ABSTRACT
The present research deals with the problem of development of an integrated expert-analytical system for optimum selection of calculated oil-field-geophysical parameters of oil and gas deposits with the purpose of increasing the accuracy of assessment of the reserves of oil and gas deposits. The purpose of the system is to make current adequate decisions on determining of oil-and-gas saturation of strata and future identification of the most significant methods for that, with these methods forming the foundation of knowledge bases for oil-and-gas deposits of the Apsheron peninsula of Azerbaijan. The system architecture allows for expanding the system with its subsequent transformation into a cluster of expert-analytical systems. A logical model of the proposed system is presented. The paper contains a detailed description of the mechanism of operation of the system as a whole and of its individual blocks. Mathematical and formal-logical bases of the intelligent system are explained. The system is equipped with a tool for dynamic statistical analysis of decisions made by it, with representation of the results in real-time mode. The results of the system testing on specific oil-and-gas deposit of the Apsheron peninsula of Azerbaijan in 2013 are given.
The present research deals with the problem of development of an integrated expert-analytical system for optimum selection of calculated oil-field-geophysical parameters of oil and gas deposits with the purpose of increasing the accuracy of assessment of the reserves of oil and gas deposits. The purpose of the system is to make current adequate decisions on determining of oil-and-gas saturation of strata and future identification of the most significant methods for that, with these methods forming the foundation of knowledge bases for oil-and-gas deposits of the Apsheron peninsula of Azerbaijan. The system architecture allows for expanding the system with its subsequent transformation into a cluster of expert-analytical systems. A logical model of the proposed system is presented. The paper contains a detailed description of the mechanism of operation of the system as a whole and of its individual blocks. Mathematical and formal-logical bases of the intelligent system are explained. The system is equipped with a tool for dynamic statistical analysis of decisions made by it, with representation of the results in real-time mode. The results of the system testing on specific oil-and-gas deposit of the Apsheron peninsula of Azerbaijan in 2013 are given.
KEYWORDS
Expert System, Knowledge Base, Decision-Making Block, Integrated System, Database, Statistical Analysis Block, Concordance Coefficient, First Order Predicates
Expert System, Knowledge Base, Decision-Making Block, Integrated System, Database, Statistical Analysis Block, Concordance Coefficient, First Order Predicates
Cite this paper
Nusratov, O. , Abdullayeva, G. and Ismayilov, I. (2014) Integrated Expert Analytical System for Assessment of Oil-and-Gas Saturation of Strata. Intelligent Control and Automation, 5, 224-232. doi: 10.4236/ica.2014.54024.
Nusratov, O. , Abdullayeva, G. and Ismayilov, I. (2014) Integrated Expert Analytical System for Assessment of Oil-and-Gas Saturation of Strata. Intelligent Control and Automation, 5, 224-232. doi: 10.4236/ica.2014.54024.
References
[1] Mamedov, A.U. and Nagiyev, V.A. (2008) Method of Prediction of Strata Oil-Bearing Capacity. Azerbaijani Oil Facilities, 6, 6-9. [2] Nesterova, G.V. and Surodina, I.V. (2008) Interpretation of Charts of Probes of VIKIZ and BKZ on the Basis of Two-Dimensional Mathematical Modeling.
http://geology.org.by [3] Jakovlev, V.M.
http://www.isolne-gis.ru [4] Belov, D.L., Chastikov, A.P. and Gavrilova, T.A. (2003) Development of Expert Systems. CLIPS Environment. BHV, Peterburg, 608 p. [5] Gavrilova, T.A. and Khoroshevsky, V.F. (2001) Knowledge Bases of Intelligent Systems. SPb: Piter, 384 p. [6] Abdullayeva, G.G. and Ismayilov, I.A. (2009) Expert System of the Choice and Decision-Making in Geophysical Researches. Transactions of Azerbaijan National Academy of Sciences. Series of Physical-Technical and Mathematical Sciences. Informatics and Control Problems, 24, 134-140. [7] Ismayilov, I.A. (2011) Integrated Expert System of Decision-Making on the Example of the Oil and Gas Field. Transactions of Azerbaijan National Academy of Sciences. Series of Physical-Technical and Mathematical Sciences. Informatics and Control Problems, 26, 154-163. [8] Jackson, P. (2001) Introduction to Expert Systems. West Group, Addison-Wesley, Rochester. [9] Russel, S.J. and Norvig, P. (1995) Artificial Intelligence: A Modern Approach. Prentice-Hall, Upper Saddle River. [10] Nusratov, O.G., Abdullayeva, G.G. and Ismayilov, I.A. (2011) Development of the Integrated Expert Systems of Decision-Making for Tasks of Oil and Gas Fields. Transactions of Azerbaijan National Academy of Sciences. Series of Physical-Technical and Mathematical Sciences. Informatics and Control Problems, 26, 99-105. [11] Nusratov, O.G., Abdullayeva, G.G. and Ismayilov, I.A. (2012) Integrated Expert System of Decision Making for Estimating Collector Properties and Oil-and-Gas Saturation of Strata. 4th International Conference “Problems of Cybernetics and Informatics”, Baku, 12-14 September 2012, 157-160. [12] Kendall, M.G. and Babington Smith, B. (1939) The Problem of m Rankings. The Annals of Mathematical Statistics, 10, 275-287.
http://dx.doi.org/10.1214/aoms/1177732186
[1] Mamedov, A.U. and Nagiyev, V.A. (2008) Method of Prediction of Strata Oil-Bearing Capacity. Azerbaijani Oil Facilities, 6, 6-9. [2] Nesterova, G.V. and Surodina, I.V. (2008) Interpretation of Charts of Probes of VIKIZ and BKZ on the Basis of Two-Dimensional Mathematical Modeling.
http://geology.org.by [3] Jakovlev, V.M.
http://www.isolne-gis.ru [4] Belov, D.L., Chastikov, A.P. and Gavrilova, T.A. (2003) Development of Expert Systems. CLIPS Environment. BHV, Peterburg, 608 p. [5] Gavrilova, T.A. and Khoroshevsky, V.F. (2001) Knowledge Bases of Intelligent Systems. SPb: Piter, 384 p. [6] Abdullayeva, G.G. and Ismayilov, I.A. (2009) Expert System of the Choice and Decision-Making in Geophysical Researches. Transactions of Azerbaijan National Academy of Sciences. Series of Physical-Technical and Mathematical Sciences. Informatics and Control Problems, 24, 134-140. [7] Ismayilov, I.A. (2011) Integrated Expert System of Decision-Making on the Example of the Oil and Gas Field. Transactions of Azerbaijan National Academy of Sciences. Series of Physical-Technical and Mathematical Sciences. Informatics and Control Problems, 26, 154-163. [8] Jackson, P. (2001) Introduction to Expert Systems. West Group, Addison-Wesley, Rochester. [9] Russel, S.J. and Norvig, P. (1995) Artificial Intelligence: A Modern Approach. Prentice-Hall, Upper Saddle River. [10] Nusratov, O.G., Abdullayeva, G.G. and Ismayilov, I.A. (2011) Development of the Integrated Expert Systems of Decision-Making for Tasks of Oil and Gas Fields. Transactions of Azerbaijan National Academy of Sciences. Series of Physical-Technical and Mathematical Sciences. Informatics and Control Problems, 26, 99-105. [11] Nusratov, O.G., Abdullayeva, G.G. and Ismayilov, I.A. (2012) Integrated Expert System of Decision Making for Estimating Collector Properties and Oil-and-Gas Saturation of Strata. 4th International Conference “Problems of Cybernetics and Informatics”, Baku, 12-14 September 2012, 157-160. [12] Kendall, M.G. and Babington Smith, B. (1939) The Problem of m Rankings. The Annals of Mathematical Statistics, 10, 275-287.
http://dx.doi.org/10.1214/aoms/1177732186