Appropriate algorithm method for Petrophysical properties to construct 3D modeling for Mishrif formation in Amara oil field
Abstract
Geostatistical modeling technicality has utilized to build the geological models before scaling-up. Possible images of the area under investigation have provided from the methods that honor the well data and have the same variability computed from the original data. Property modeling is the process of filling the cells of the grid with discrete (facies) or continuous (petrophysics) properties. When interpolation between data points, propagate property values along the grid layers have executed. The main branch in the modeling algorithms obtainable is between Deterministic and Stochastic methods. In Petrel, both kinds of algorithms are available in the Facies and Petrophysical modeling processes. The process of well log up scaling is required to post values in each cell of the 3D grid where each of the wells has situated; to achieve the averages well properties have used to populate each of the cells.This study has constructed based on thirteen wells penetrated Mishrif formation in Amara oil Field. This study has constructed based on thirteen wells (Am-1 to Am-13) penetrated Mishrif formation in Amara Oil Field. Three Dimension modeling has built depending to 12 wells (Am-1 to Am12) for Mishrif formation. All wells have PHIE and Water Saturation logs, which exported from the interactive Petrophysics software. Thereafter, scale up well logs has carried out for these wells. There are different methods of distribution of petrophysical properties. Eight methods have executed in order to propagate property values through construct Porosity and Water Saturation Models. Depending on results, the project has eight water saturation models and eight porosity models. Then insert new well (Am-13) to the modelsand create PHIE and Water Saturation logs from the Porosity and Water Saturation models where the new well penetrated the models in points, therefore, the new well have PHIE and water saturation logs for each method. With varying methods consequently, differences in results. Depending on comparing the results from Log interpretation and the results from models, there are no data from the modeling corresponding exactly to the true data from the log interpretation for the same well, but it approximate from the true data in different percentage. Sequential Gaussian Simulation suitable algorithm method to build the 3D modeling for Mishrif formation in Amara Oil Field.
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Introduction
Geostatistical modeling technicality is widely used to build the geological models before scaling-up. Possible images of the area under investigation have provided from these methods that honor the well data and have the same variability computed from the original data. When few data are available or when data obtained from the wells are insufficient to have to characterize the petrophysical conduct and the heterogeneities of the field, further constraints are needed to gain a more factual geological model. For instance, seismic data or stratigraphic models can supply average reservoir information with an excellent area covering, but with a poor vertical resolution[1].
The procedure of preparing the input data into property modeling, it involves applying transformations on input data, identifying trends for continuous data, vertical proportion, and probability for discrete data. This is then utilized in the facies and petrophysical modeling to include that the same trends occur in the result.The Data Analysis utility lets analyze data interactively to gain a better understanding of the trends within your data. Also, benefit from an understanding of the relationships across all your data types[2].
Conclusion
Depending on the results, there are not data from the modeling corresponding exactly to the true data from the log interpretation for the same well, but it approximate from the true data in different percentage .The quality of the results strongly reliance on the type of the method. Sequential Gaussian Simulation suitable algorithm method to build the 3D modeling for Mishrif formation.