Arbitrary cross-section through the 6 vertical wells with single zone completions. The log displayed in color is the extracted production model along these vertical wells. The red disks shows the actual completion interval for these wells. The wells highlighted in yellow have the highest probability for refrac success.
Large amounts of well and completion data, as well as post-stack and pre-stack seismic attributes are available in many unconventional U.S. oil and gas plays. Despite so much information geoscientists and engineers still cannot correlate strong well performance with individual reservoir properties. A unique combination of factors controls the behavior and productivity of each well and reservoir. However, there are simply too many static and dynamic variables and potential outcomes for traditional analysis, interpretation and modeling.
By integrating geoscience and engineering data with seismically-constrained multivariate statistical analysis, now operators can develop far more reliable models. This capability may prove essential to success during the current downturn. From a potential list of 100 or more 3-D seismic and well attributes, multivariate statistics can isolate the few key performance indicators (KPIs) that have the greatest impact on well performance. Correlating these KPIs with other log, core and completion data can determine which reservoir properties or conditions they may represent. Once defined, indicators can be integrated into a single 3-D predictive model of cumulative production.
Operators can apply these models to identify the most prospective areas and zones for drilling - down to the stage level! This reduces risk, optimizes spend, and greatly increases the chance for every well and stage to be a winner.
High-grade prospective drilling areas and zones
Enhance well planning and geosteering
Optimize completion placements and frac design
Predict well performance at stage level
Boost EUR of individual wells
Identify candidates for refrac
Global’s seismic-based analytics approach is field-proven with successful projects in both conventional and unconventional reservoirs. Multivariate analysis and the integrated modeling workflow above were used to successfully predict cumulative production in the Wolfcamp formation of West Texas, based on a multiclient 3-D seismic survey and public well and completion data. Download the Case Study
Contact us to learn more about how Seismic-Based Analytics can help you make every well a winner.