Integrating 3D and 4D seismic with reservoir simulation models, faults, and well data (completions and production) is critical in enhancing reservoir understanding. This is easily accomplished with CoViz 4D from Dynamic Graphics, Inc. Data used by permission of owner.
The quantitative and qualitative analysis of seismic attributes plays an integral part in reservoir planning and development in the oil and gas industry. 3D seismic analytics facilitate enhanced understanding of geological features like faults, fractures, and facies variation and distribution within the reservoir. This information is especially important where a significant variation and complexity in subsurface characteristics exists.
The precise understanding of subsurface characteristics in the reservoir can often include a huge seismic data volume. The software with an ability to handle such large data volume—while providing effective interpretation and visualization ability—allows geophysicists and geologists to illustrate a number of geologic features in their correct geospatial location.
Seismic Attributes and Big Data Analysis
The 3D seismic analytics derived from subsurface seismic data helps in identifying prospects with important information regarding facies distribution, fluid migration, faults, fractures, porosity, and permeability, which are beneficial for reservoir characterization and well planning. The analysis allows interpreters to quantify and visualize the geological features supporting fast and efficient decision making. In areas with complex geological properties, the analysis of 3D seismic attributes extracts hidden characteristics which may otherwise be difficult to derive with other seismic data types such as amplitude data. The ability to cross-correlate multiple attributes from 3D seismic volume for a multi-attribute analysis can facilitate a deeper understanding of the reservoir. The software technologies that facilitate the integration of these large data volumes can improve the effectiveness of 3D visualization for analysis.
In recent years, advanced software have also included machine learning technologies, allowing programs to auto-detect the faults, auto-interpret logs, and recognize patterns. This has facilitated an intuitive understanding of 3D seismic attributes through visualization, allowing geoscientists to quickly identify geological and structural features as well as anomalies in data for efficient analysis.
Enhanced Interpretation of 3D Seismic Analytics and Attributes
Given the large volume of data involved, the integration and visualization of diverse datasets for 3D seismic analytics can be a challenge. Efficient integration and visualization software provides the user the ability to:
- Compute multiple attributes to derive correlation for identifying geological features and identifying trends.
- Reduce analysis time with fast data integration and on-the-fly integration and visualization ability.
- Correlate seismic attributes with other data including well logs or production data to derive accurate prediction as well as to determine characteristics between wells where data is not available.
- Condition the data to generate high-quality seismic analysis.
Software platforms such as DGI’s CoViz 4D and EarthVision are continually working towards enhancing subsurface predictions with efficient interpretation and visualization abilities.
CoViz 4D and EarthVision: Discerning 3D Seismic Attributes
For enhanced quantitative analysis and visualization requirements for 3D seismic analytics and attributes, CoViz 4D and EarthVision from Dynamic Graphics, Inc. provide an ideal geospatial platform. These softwares facilitate attribute extraction and visualization in their correct geospatial location to illustrate a number of geologic features including faults, fractures, and facies variation in 3D space. These platforms also facilitate the use of 3D seismic attributes to discern subsurface characteristics at nearby locations where data may not be available but is crucial for complete analysis. CoViz 4D and EarthVision allow interpreters to make on-the-fly calculations of volumetric data and multi-attribute visualization, reducing the effort and time required to process the large data volume.
Through the efficient visualization of 3D seismic attributes, asset teams can precisely interpret the subsurface geological features which facilitate risk minimization and production optimization.