Predictive analytics in the oil and gas industry is a vital tool that allows analysts to assess the full composition of recoverable reserves. Without a good understanding of the field, analysts can miss lucrative reserve locations and overlook potential hazards that could hamper operations.
The solution is a production history matching workflow that creates a reservoir model to match past production. In order to create a useful model, analysts need a robust reservoir simulator coupled with flexible visualization and analysis software to enhance and validate the reservoir simulation model construction. By using a variety of data streams that are merged together, analysts can make the right development decisions via enhanced predictive analysis from an economic and technical perspective.
Evolving Analysis of Field Data
Numerous types of structured data (including seismic and well log data) and unstructured data (production and pressure data, rock samples) are collected periodically throughout the life of a field and iteratively included in the geologic, geophysical, petrophysical, and engineering models. These models evolve into more accurate and refined interpretations as new information is added.
During the life of a field, it is common for the data format and collection instrumentation to change and improve giving the operator greater resolution in their technical interpretation of the field’s structure and reservoir. Since field production can last for decades, analysts need software that will merge all data streams over time while retaining a comprehensive rendering that everyone on a team can understand.
Analysts need software that will merge all data streams over time while retaining a comprehensive rendering that everyone on a team can understand.
Precise Field Analysis and Interpretations
The periodic addition of new data drives a continual reevaluation of the asset and updated predictions are made concerning reserves and economics of the field. Greater resolution in the geological and geophysical models often identifies potential bypassed pay within previously unidentified zones and traps. The discovery of potential bypassed pay requires a reinterpretation of the field’s predictive analytics (potential pay, lithologic reservoir parameters, petrophysical reservoir parameters, geologic structure, and thickness) to refine the asset’s Estimated Ultimate Recovery (EUR) prediction and evaluate expenditures for new wells needed to recover the bypassed pay.
These interpretations are usually conducted within a service company’s provided interpretive software that often does not communicate well between discipline-specific analysis. This makes the process of asset reinterpretation difficult, time-consuming, and often incomplete. These difficulties can be overcome by using powerful data fusion software that can incorporate all data types.
CoViz 4D and Predictive Analytics in the Oil and Gas Industry
When it comes to predictive analytics in the oil and gas industry, CoViz 4D can enhance model simulations, simplifying the analytical and reinterpretation process. This access to total data flexibility enables all members of the asset team to easily view all information and make critical cross-disciplinary correlations that can more accurately reflect the field’s EUR.