The possibilities of synchronous inversion in the prediction of low-power terrigenous vendian collectors

Abstract

Introduction. Recent advances in the interpretation of seismic data are associated with inversion transformations of seismic data. Seismic data can be studied and interpreted by themselves, without the use of inversion, however, this does not allow us to get the most detailed idea of the structure of the formation, and under certain conditions can lead to an unreliable result. Due to the efficiency and quality of seismic inversion, currently most oil and gas companies use inversion technologies in order to increase the resolution of seismic data and increase the reliability of forecasts, increase the reliability of the assessment of filtration-capacitance properties of rocks, including porosity and effective thickness.
Goal. In order to obtain a forecast of the distribution of low-power reservoirs of terrigenous deposits in Eastern Siberia, dynamic analysis tools were evaluated and the optimal method was selected.
Materials and methods. In order to understand the possibility of seismic exploration and evaluate its predictive capabilities, petroelastic modeling was performed and a wedge model was constructed. Testing of various attribute analysis tools, such as the construction of attributes by the total cube, by cubes of elastic parameters, has been implemented. Synchronous inversion was calculated, its interpretation was carried out by the Bayesian classification of cubes of elastic parameters, and the collector probability cube was obtained at the output.
Results. As a result of the work carried out, it was found that the classic attribute approach is not suitable for low-power collectors of Vendas. The selection of a suitable calculation window or attribute is a labor-intensive and inefficient method of obtaining the trend of the spread of effective thicknesses in the inter-well space. The probability cube of the collector and the map based on probability cut-offs are the most optimal option.
Conclusion. Seismic inversion as a tool for detailed geological modeling on the example of an oil field in Eastern Siberia has shown the effectiveness for the prediction of low-power reservoirs.