Reservoir characterization using pre-stack inversion in one of the carbonate reservoirs of Iran

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Yasami Khiabani Sepideh; Seyedali Seyed Mohsen

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Journal: JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS Year:2020 | Volume:6 | Issue:1 Page(s): 131-143

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Title

Reservoir characterization using pre-stack inversion in one of the carbonate reservoirs of Iran

Author(s)

Yasami Khiabani Sepideh | Seyedali Seyed Mohsen | Issue Writer Certificate

Keywords

Seismic reservoir characterization

AVO analysis

Simultaneous inversion

LMR inversion

Abstract

Summary The main goal of this study is to identify different phases of existing fluids in a carbonate reservoir using Seismic reservoir characterization techniques. Seismic reservoir characterization helps to find more information about reservoir rock and fluid properties in hydrocarbon exploration. The most common methods of Seismic reservoir characterization are post stack, prestack and AVO (amplitude versus offset) analysis techniques. Pre-stack seismic inversion techniques produce more reliable results than post-stack inversion approaches. Pre-stack inversion methods utilize CMP gathers for inversion of seismic data. These methods invert several terms including Vp, Vs and density simultaneously. In this study, Simultaneous inversion and AVO inversion were applied on pre-stack seismic data to characterize fluid distribution in the reservoir. From the AVO inversion, the intercept and gradient values were obtained, and from Simultaneous inversion, Lame parameters were extracted throughout the carbonate reservoir. The obtained results were then analyzed to identify lateral fluid variations in the reservoir. After analysis of the obtained results from AVO and Simultaneous inversions, it was concluded that AVO inversion was not as applicable as LMR inversion in the carbonate reservoirs. Introduction Identification of rock and fluid properties of hydrocarbon reservoirs is one of the most important parts of reservoir characterization projects. Seismic inversion algorithms play crucial roles in quantitative reservoir interpretation jobs. Seismic inversion increases the resolution of seismic data by integration of low frequency and high frequency data from seismic and well data. The obtained models provide a higher quality data for interpretation and identification of lithology and fluid in the reservoir. AVO analysis is another aspect of quantitative seismic interpretation, which delivers an effective tool as a direct hydrocarbon indicator for detection of fluid content and analysis of reservoir quality. AVO analysis is very effective in clastic reservoirs. Simultaneous inversion is a generalized version of post-stack inversion to invert pre-stack CDP gathers (angle gathers) to calculate P-impedance, S-impedance, and density (Hampson, 2005). It is more stable than a post-stack inversion because pre-stack inversion in brine-saturated rocks incorporates P-wave velocity, S-wave velocity, and density that should be related linearly. Several authors (e. g. Gardner, 1974, and Castagna, 1985) have given this relation. Any deviation from the background trend can be interpreted as fluid-saturated rock. Simultaneous inversion algorithm solves the Fatti equation, which is the simplified version of the Zoeppritz equation. LMR inversion was proposed by Goodway (1997) as a lithology and fluid indicator using Lame parameters λ (incompressibility), μ (rigidity) and density (ρ ). μ ρ (MR) gives information regarding rock matrix, and λ ρ (LR) reflects the fluid information of the rock. Methodology and Approaches In this study, AVO analysis and LMR inversion methods were utilized to delineate the boundary of fluid content variations in the reservoir. The applied methodology is summarized as follows: 1. Data loading including well and seismic data 2. Quality control of loaded data and enhancing them by applying relevant corrections 3. Converting pre-stack seismic data into the angle domain by an appropriate velocity model 4. Wavelet extraction and well to seismic tie 5. AVO analysis 6. Initial mode building for inversion 7. Inversion analysis at well locations 8. Performing pre-stack Simultaneous inversion on seismic data to obtain Vp, Vs and density for calculation of Lame parameters 9. Preparing LMR attributes 10. Interpretation of LMR attributes for identification of lateral fluid variations in the reservoir Results and Conclusions The results obtained from the analysis of different methods of quantitative interpretation of seismic data showed that in the studied carbonate reservoir, the AVO attributes are not capable of discriminating rock and reservoir fluid properties. However, this does not mean that seismic data are inadequate in identification of lateral variations of the reservoir properties, and utilization of more advanced and more suitable techniques in carbonate reservoirs solves this problem. Therefore, in this study, Simultaneous inversion and LMR attributes were analyzed to delineate oil and gas distribution in the reservoir.

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APA: Copy

Yasami Khiabani, Sepideh, & Seyedali, Seyed Mohsen. (2020). Reservoir characterization using pre-stack inversion in one of the carbonate reservoirs of Iran. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 6(1 ), 131-143. SID. https://sid.ir/paper/268583/en

Vancouver: Copy

Yasami Khiabani Sepideh, Seyedali Seyed Mohsen. Reservoir characterization using pre-stack inversion in one of the carbonate reservoirs of Iran. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2020;6(1 ):131-143. Available from: https://sid.ir/paper/268583/en

IEEE: Copy

Sepideh Yasami Khiabani, and Seyed Mohsen Seyedali, “Reservoir characterization using pre-stack inversion in one of the carbonate reservoirs of Iran,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 6, no. 1 , pp. 131–143, 2020, [Online]. Available: https://sid.ir/paper/268583/en

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