Application of Seismic Attribute Technique to estimate the 3D model of Hydraulic Flow Units: A case study of a gas field in Iran
| Autor: | Seyed Hasan Hajiabadi, Mahdi Rastegarnia, Ali Sanati, Mohamad Iravani, Dariush Javani |
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| Rok vydání: | 2018 |
| Předmět: |
Petroleum engineering
Renewable Energy Sustainability and the Environment Process Chemistry and Technology Organic Chemistry Flow (psychology) Seismic attribute Drilling 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Catalysis Natural gas field Fuel Technology 020401 chemical engineering Geochemistry and Petrology lcsh:TP690-692.5 Reservoir modeling 0204 chemical engineering Hydrocarbon exploration Acoustic impedance lcsh:Petroleum refining. Petroleum products Geology Seismic to simulation 0105 earth and related environmental sciences |
| Zdroj: | Egyptian Journal of Petroleum, Vol 27, Iss 2, Pp 145-157 (2018) |
| ISSN: | 1110-0621 |
| Popis: | One of the most important steps in evaluation and development of hydrocarbon reservoirs is the mapping of their characteristics. Nowadays, Seismic Attribute Technique is used to build parameters of hydrocarbon reservoirs in inter-well spaces. One of these parameters is the Flow Zone Index (FZI) that has a significant effect on different stages of evaluation, completion, primary and secondary production, reservoir modeling and reservoir management. The aim of this study is to introduce an equation using seismic attribute and FZI log in wells and then generalize it to predict FZI throughout the reservoir. For this purpose, acoustic impedance (AI) volume as an external attribute was created while internal attributes were computed from seismic data. After that, The best set of attributes was determined using stepwise regression after which seismic attributes were applied to multi-attribute analysis to predict FZI. Then, the attribute map resulted from multi-attribute analysis was used to interpret the spatial distribution of the gas bearing carbonate layers. Finally, the optimum number of Hydraulic Flow Units (HFU) was determined by analyzing the break point in the plot of cumulative frequency of FZI for wells and was generalized all over the reservoir by using the 3D HFU model. The results demonstrated that multi-attribute analysis was a striking technique for HFU estimation in hydrocarbon reservoirs that reduces cost and increases rate of success in hydrocarbon exploration. Distribution of producible hydrocarbon zones along with the seismic lines around the reservoir was characterized by studying this model which can help us in choosing the location of new wells and more economical drilling operations. Keywords: Multi-attribute analysis, Seismic attribute, Flow Zone Index, Acoustic impedance volume, Hydraulic Flow Units |
| Databáze: | OpenAIRE |
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