However, there are isolated instances where reflections may not constitute timelines. Field data applications demonstrate the effectiveness of the proposed method. In the application, a detailed prediction process for fluid discrimination is given, in which the Bayes posterior prediction framework is adopted to provide the maximum posterior probability solution and its posterior probability. The proposed model helps to highlight the difference between different pores and present reasonable fluid information. Then, a new inclusion-based rock physics model for tight sandstones is proposed by considering the fluid pressure ratio between cracks and stiff pores. The applicability of the conventional fluid substitution equations is analyzed in detail. We also review the theoretical implications for different rock physics models that are based on the inclusion-based method, focusing specifically on the modeling workflow for conventional sand-shale reservoirs and two models for tight sandstones. Rock physics modeling takes an important role in reservoir prediction by linking petrophysical properties and elastic parameters. In this paper, we first review the effective medium models that are widely used in seismic exploration and a variety of inversion methods and reservoir prediction strategies in reservoir prediction. The impedance-based methods “CPEI-Curved Pseudo-elastic Impedance” and “LMR-Lambda-Mu-Rho” inversion provided better results compared to other techniques, highlighting the critical influence anomalous lithologies have on such screening attributes.įluid discrimination is challenging for reservoir prediction, especially for tight sandstones with special petrophysical properties. We also carried out a case study to compare selected fluid identification methods applied to a complex reservoir within an oil and gas field in the Barents Sea. In this review, we touch upon the relevant theory developed more than 100 years ago, and then review the methods developed over five decades leading to the quantitative interpretation of seismic data for fluid detection. With the increase in computing power and advances in seismic acquisition and processing techniques. Further development of new techniques had a strong correlation The usage of bright spots(strong reflection amplitudes) as an indicator of hydrocarbon was the earliest recognition of the direct role played by the pore fluids in seismic signatures. Since the advent of seismic imaging techniques, the dream of geophysicists has been to identify the fluid effect and be able to accurately map hydrocarbon from the brine within a target reservoir.
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