GEOCHEMICAL DATA PREDICTION FROM WELL LOG DATA AND SEISMIC ATTRIBUTES USING ANT COLONY OPTIMIZATION TECHNIC IN MANSURI OIL FIELD

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ABDIZADEH HODA; KADKHODAEI ALI; AHMADI ALI; HEYDARIFARD MOHAMMADHOSSEIN

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Journal: PETROLEUM RESEARCH Year:2016 | Volume:26 | Issue:86 Page(s): 155-168

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Title

GEOCHEMICAL DATA PREDICTION FROM WELL LOG DATA AND SEISMIC ATTRIBUTES USING ANT COLONY OPTIMIZATION TECHNIC IN MANSURI OIL FIELD

Author(s)

ABDIZADEH HODA | KADKHODAEI ALI | AHMADI ALI | HEYDARIFARD MOHAMMADHOSSEIN | Issue Writer Certificate

Keywords

TOTAL ORGANIC CARBONQ1

WELL LOGSQ2

SEISMIC INVERSIONQ1

PROBABILISTIC NEURAL NETWORKQ1

ANT COLONY OPTIMIZATIONQ1

Abstract

TOTAL ORGANIC CARBON is among the most important geochemical factors for source rock assessment. Considering the general scarcity of measured TOTAL ORGANIC CARBON data in exploration area together with expensive and time consuming procedure of Rock-Eval pyrolysis, development of a new method for direct estimation of TOC parameter from well log and seismic data is an important issue and the object of this study. In this paper, 2D seismic data and petrophysical data of the Pabdeh Formation from 4 wells of the Mansuri Oil field are used. Also ΔLog R was used to predict TOC values from petrophysical data. The calculated values were used as inputs for a Multi Attribute Analysis to find a logical relation with seismic attributes. In this study, SEISMIC INVERSION was performed based on Neural Networks Algorithm and the resulting acoustic impedance was utilized as an external attribute. Afterwards, a PROBABILISTIC NEURAL NETWORK was trained using a set of predicting attributes derived from multiple regression. Subsequently, TOC was estimated by using seismic attributes with correlation coefficient of 75%. In the next step of study, the nonlinear ANT COLONY OPTIMIZATION technique was utilized as an intelligent tool to estimate and production TOC seismic section from seismic attributes. Nonlinear Ant Colony calculates weight factors for each of seismic attributes. Finally, having these weights and seismic attributes, TOC seismic section was produced.

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APA: Copy

ABDIZADEH, HODA, KADKHODAEI, ALI, AHMADI, ALI, & HEYDARIFARD, MOHAMMADHOSSEIN. (2016). GEOCHEMICAL DATA PREDICTION FROM WELL LOG DATA AND SEISMIC ATTRIBUTES USING ANT COLONY OPTIMIZATION TECHNIC IN MANSURI OIL FIELD. PETROLEUM RESEARCH, 26(86), 155-168. SID. https://sid.ir/paper/115169/en

Vancouver: Copy

ABDIZADEH HODA, KADKHODAEI ALI, AHMADI ALI, HEYDARIFARD MOHAMMADHOSSEIN. GEOCHEMICAL DATA PREDICTION FROM WELL LOG DATA AND SEISMIC ATTRIBUTES USING ANT COLONY OPTIMIZATION TECHNIC IN MANSURI OIL FIELD. PETROLEUM RESEARCH[Internet]. 2016;26(86):155-168. Available from: https://sid.ir/paper/115169/en

IEEE: Copy

HODA ABDIZADEH, ALI KADKHODAEI, ALI AHMADI, and MOHAMMADHOSSEIN HEYDARIFARD, “GEOCHEMICAL DATA PREDICTION FROM WELL LOG DATA AND SEISMIC ATTRIBUTES USING ANT COLONY OPTIMIZATION TECHNIC IN MANSURI OIL FIELD,” PETROLEUM RESEARCH, vol. 26, no. 86, pp. 155–168, 2016, [Online]. Available: https://sid.ir/paper/115169/en

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