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Improved reservoir characterization by means of supervised machine learning and model-based seismic impedance inversion in the Penobscot field,Scotian Basin

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 183-201页

作者： Satya Narayan Soumyashree Debasis Sahoo Soumitra Kar Sanjit Kumar Pal Subhra Kangsabanik Oil and Natural Gas Corporation(ONGC)Limited DehradunIndia Department of Applied Geophysics IIT(ISM)DhanbadIndia

The present research work attempted to delineate and characterize the reservoir facies from the Dawson Canyon Formation in the Penobscot field,Scotian *** integrated study of instantaneous frequency,P-impedance,volume of clay and neutron-porosity attributes,and structural framework was done to unravel the Late Cretaceous depositional system and reservoir facies distribution patterns within the study *** strikes were found in the EW and NEE-SWW directions indicating the dominant course of tectonic activities during the Late Cretaceous period in the region.P-impedance was estimated using model-based seismic *** properties such as the neutron porosity(NPHI)and volume of clay(VCL)were estimated using the multilayer perceptron neural network with high ***,a combination of low instantaneous frequency(15-30 Hz),moderate to high impedance(7000-9500 gm/cc*m/s),low neutron porosity(27%-40%)and low volume of clay(40%-60%),suggests fair-to-good sandstone development in the Dawson Canyon *** calibration with the welllog data,it is found that further lowering in these attribute responses signifies the clean sandstone facies possibly containing *** present study suggests that the shale lithofacies dominates the Late Cretaceous deposition(Dawson Canyon Formation)in the Penobscot field,Scotian *** faults and overlying shale facies provide structural and stratigraphic seals and act as a suitable hydrocarbon entrapment mechanism in the Dawson Canyon Formation's *** present research advocates the integrated analysis of multi-attributes estimated using different methods to minimize the risk involved in hydrocarbon exploration.

关键词： Reservoir characterization model-based inversion Multilayer perceptron(MLP) Impedance Petrophysical properties Scotian Basin

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Comparison between several seismic inversion methods and their application in mountainous coal fields of western China

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Mining Science and Technology 2010年第4期20卷 585-590页

作者： XU Yongzhong CHEN Tongjun CHEN Shizhong HUANG Weichuan WU Gang School of Resources and Geosciences China University of Mining & Technology Xuzhou 221008 China Institute of Geophysics China Earthquake Administration Beijing 100081 China

With the objective of establishing the necessary conditions for 3D seismic data from mountainous areas in western China, we compared the application results of wave impedance technology in the lithology and exploration of coal fields. First, we introduce principles and features of three kinds of inversion methods. i.e., model-based inversion, Constrained Sparse Spike inversion (CSSI) and Geology-Seismic Feature inversion. Secondly, these inversion methods are contrasted in their application to 3D seismic data from some coalfields in western China. The main information provided by the research includes: improving the vertical resolution of coal deposit strata, inferring lateral variation of the lithology and predicting coal seams and their roof lithology. Finally, the comparison between the three methods shows that the model-based inversion has the higher resolution, while CSSI inversion has better waveform continuity. The geology-seismic feature inversion requires information from a large number of wells and many types of logging curves of good quality. All three methods can meet the requirements of seismic exploration for lithological exploration in coal fields.

关键词： model-based inversion constrained sparse spike inversion geology-seismic feature inversion coal seam lithological exploration

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