For a detailed understanding of reservoir characteristics, the acquisition and analysis of well log data are essential. The data obtained during the logging process provides an overview of the geoscientific property of the subsurface which can be used to identify the potential pay zones in the reservoir. From exploration to completion, the oil and gas recovery project is dependent on the analysis derived from this data. Thus, it should be a priority to analyze the well log data thoroughly and efficiently.
Often, well log analysis alone contains some ambiguity, mostly due to lithologic and mineralogic constituents of the potential reservoir. This ambiguity makes it difficult to derive a complete picture of the reservoir. Integration of geological information with petrophysical data is required to enhance the well log analysis. Enhanced well log analysis can help in achieving accurate reservoir modeling. With proper integration of data and visualization of the model, engineers can make a more informed decision about the hydrocarbon recovery potential and process efficiency to move forward with the project
Well Log Data Analysis
The process of well logging records the subsurface data related to rock attributes as well as the fluid properties along the depths of the borehole. Various techniques including acoustic, electrical, nuclear, and hydro-physical logging extract the data that can determine the rock formation, types, and properties. This lithological information can be used by engineers to calculate:
- Water and oil saturation
- Shale volume
- And other rock or formation properties
Different techniques are used to collect these data during the logging process. However, for complete reservoir characterization, petrophysical properties need to be supplemented with geological properties.
Enhancing Analysis of Well Log Data
Integration of geological data with well log data enhances the reservoir characterization process. The integration can provide information about rock distribution and thickness variations, storage and flow capacity of the reservoir, and porosity distribution in the subsurface. Engineers can use this analysis to make designs and strategies for cost-efficient recovery.
The process can be further enhanced by the visualization of these data. 3D visualization technology allows the collaboration of geological, petrophysical, and seismic data into a single geospatial environment. Asset teams can use these data to build a correlation and identify potential abnormalities and errors in the logging process. Additionally, these data can also be used for maximizing recovery and determining further exploitation potential.
Visualization and Well Log Analysis with CoViz 4D
CoViz 4D provides a data visualization and integration solution to a wide range of subsurface data. Well log data, log curves, and geological models from various data sources can be suitably integrated to make an accurate well log analysis. Visualization of these data in a 3D model helps asset teams better correlate and understand the reservoir characteristics and make cost-efficient decisions.
Well log analysis is an extremely important part of any hydrocarbon recovery project. Ineffective handling of well log data and inaccurate characterization of the subsurface can have an immense effect on the entire project. CoViz 4D helps in integrating rock-specific data and depositional models for effective log analysis. This information can help improve the economic understanding of the oil field and reservoir and make a competent decision for potential recovery.