Upstream oil and gas production deals with complex analysis of large data volumes related to the exploration and recovery of an asset. Big data has helped maintain a competitive edge for the industry by proving as a tool for efficient decision-making for the upstream segment through an efficient understanding of the geological, production, and engineering aspects of a project. Integration and visualization of multi-disciplinary data have allowed engineers and geoscientists to reach more subtle conclusions regarding exploration, drilling, and production processes based on the interrelationship between variables. Integration and visualization software has made it easier for companies to analyze an existing plan and optimize the asset development process to derive positive economic results and manage risks in upstream operations.
Analysis of Big Data in Upstream Oil and Gas
Upstream oil and gas deals with a high level of investment risks given the complexity of the completion strategy, especially in unconventional reservoirs where uncertainties can be prevalent. Quantifying these uncertainties is important to refine and optimize the completion techniques. This can be done by leveraging big data in upstream oil and gas for improving the understanding of the petrophysical, lithological, and geological characteristics of an unconventional reservoir.
Companies spend millions of dollars to figure out the right completion technique for a reservoir. With the analysis of a large volume of data, asset teams can analyze multiple variables and build interrelationships to make the right approach in drilling and production.
- Comparing observed seismic, production, and drilling data to a simulation model can help in identifying uncertainty, residual error, and improve the analysis.
- With improved analysis of data over time, reservoir and drilling engineers can anticipate potential risks and failures.
- The minimization of uncertainty in unconventional reservoirs through data integration, correlation, and 3D mapping helps asset teams to accurately identify the target, improve drilling accuracy, and optimize production to achieve maximum productivity.
Refining Completion Technique with Big Data
Decision-making in well-completion strategies requires a broad knowledge of geospatial and temporal attributes which can be analyzed through the visualization and integration of data obtained through seismic surveys, well logs, tracer studies, and other data collection techniques. These data are often multi-disciplinary and require intense integration, effective analysis, and unified collaboration to derive an effective conclusion. This is where software platforms like CoViz 4D prove to be advantageous. Reservoir, drilling, and completion engineers, and geophysicists and geologists can interpret a large volume of structured and unstructured data in improving their reservoir management approach.
Advanced technology provides large-scale optimization of completion techniques by:
- Providing accurate visualization and complete understanding of nearby, new, and existing wells
- Visualizing advantages and disadvantages of alternative strategies before implementation
- Determining optimal injection strategy for a group of wells
- Visualizing production patterns over a large area
- Analyzing the rate of production decline
CoViz 4D: Analyzing Big Data in Unconventional Reservoirs
The end goal of a completion strategy is to maximize production. This can only be possible with accurate production design, planning, and execution. Analysis of big data in upstream oil and gas helps in reducing uncertainty and minimizing risk through multivariate analysis of the large volume of spatial and temporal datasets. Analyzing variable interrelationships allows asset teams to identify ideal strategies for completion.
CoViz 4D helps in the analysis by providing comprehensive data integration and visualization, allowing users to:
- Visualize based on the selected area or basin to get information on wells and their productivity.
- Detect existing or nearby wells to make the decision on sidetrack well drilling.
- Identify production patterns as a whole rather than on a well-by-well basis for faster analysis.
- Plot the decline curve of a well or the entire field over time to understand the rate of production and its cost-effectiveness.
Enhanced understanding with the analysis of a large data volume makes it easier for decision-makers to select an ideal completion approach that provides maximum recovery as well as a return on investment.