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Geostatistical seismic inversion and 3D modelling of metric flow units,porosity and permeability in Brazilian presalt reservoir

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Petroleum Science 2024年第3期21卷 1699-1718页

作者： Rodrigo Penna wagner moreira lupinacci Exploratory Interpretation and Reservoir Characterization Group(GIECAR) Department of Geology and GeophysicsUniversidade Federal FluminenseNiteroiRJ24210-346Brazil Petrobras Rio de JaneiroRJ20031-912Brazil

Flow units(FU)rock typing is a common technique for characterizing reservoir flow behavior,producing reliable porosity and permeability estimation even in complex geological ***,the lateral extrapolation of FU away from the well into the whole reservoir grid is commonly a difficult task and using the seismic data as constraints is rarely a subject of *** paper proposes a workflow to generate numerous possible 3D volumes of flow units,porosity and permeability below the seismic resolution limit,respecting the available seismic data at larger *** methodology is used in the Mero Field,a Brazilian presalt carbonate reservoir located in the Santos Basin,who presents a complex and heterogenic geological setting with different sedimentological processes and diagenetic *** generated metric flow units using the conventional core analysis and transposed to the well log ***,given a Markov chain Monte Carlo algorithm,the seismic data and the well log statistics,we simulated acoustic impedance,decametric flow units(DFU),metric flow units(MFU),porosity and permeability volumes in the metric *** aim is to estimate a minimum amount of MFU able to calculate realistic scenarios porosity and permeability scenarios,without losing the seismic lateral *** other words,every porosity and permeability volume simulated produces a synthetic seismic that match the real seismic of the area,even in the metric *** achieved 3D results represent a high-resolution fluid flow reservoir modelling considering the lateral control of the seismic during the process and can be directly incorporated in the dynamic characterization workflow.

关键词： Flowunits Geostatistical inversion Presalt reservoir 3D reservoir modelling Petrophysical modelling

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Stochastic seismic inversion and Bayesian facies classification applied to porosity modeling and igneous rock identification

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Petroleum Science 2024年第2期21卷 918-935页

作者： Fábio Júnior Damasceno Fernandes Leonardo Teixeira Antonio Fernando Menezes Freire wagner moreira lupinacci Exploratory Interpretation and Reservoir Characterization Group(GIECAR) Department of Geology and GeophysicsFederal Fluminense UniversityNiter oiRJ24210-346Brazil Petrobras Rio de JaneiroRJ20231-030Brazil National Institute of Science and Technology of Petroleum Geophysics(INCT-GP/CNPQ) Niter oiRJ24210-346Brazil

We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1,reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.

关键词： Stochastic inversion Bayesian classification Porosity modeling Carbonate reservoirs Igneous rocks

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Controls of fracturing on porosity in pre-salt carbonate reservoirs

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能源地球科学(英文) 2023年第2期4卷 49-61页

作者： wagner moreira lupinacci Tuany Younis Abdul Fatah Maria Cordeiro do Carmo Antonio Fernando Menezes Freire Luiz Antonio Pierantoni Gamboa Exploratory Interpretation and Reservoir Characterization Group(GIECAR) Department of Geology and GeophysicsUniversidade Federal FluminenseNiteróiRio de Janeiro24210346Brazil National Institute of Science and Technology of Petroleum Geophysics(INCT-GP/CNPQ) NiteróiRio de Janeiro24210346Brazil

This work aims to improve the understanding of how fracture zones affect carbonate reservoir properties based on observations of a pre-salt well located in the Santos Basin,*** identification of fracture zones allowed for the observation of a relationship between the occurrence of rock fractures and the silicification,as the latter plays an important role in determining porosity(higher silica content may increase brittleness of the rocks therefore increasing the likelihood of creating fractures zones and fractures may be filled up reducing the total porosity).To support the proposed observation,an integrated study was conducted using borehole imaging,spectroscopy logs,and sidewall core *** porosities were defined using nuclear magnetic resonance log analysis,alongside sidewall core samples,and thin *** integration of rock samples and well data with seismic analysis was performed to analyze the presence of a regional fault system that could explain high fracture densities as well as observed silica content *** results show how different types of cement filling up the formation pores affect fracture densities and total ***,it was possible to infer that the amount of silica content observed in well logs and thin sections relates to hydrothermal fluids reaching out the reservoir through regional fault systems detected in the seismic ***,this paper supports the comprehension of how diagenetic processes can significantly affect the properties of presalt reservoirs.

关键词： Fracture Porosity Pre-salt carbonatereservoir Santos Basin

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