Applied Post-Job Analytics
Bazan Consulting, Inc. offers a post-job engineering based analysis of horizontal well fracture treatment data that communicates meaningful patterns and results. Engineers do not always require a post-job 3D DFN fracture geometry propagation model to improve completions. These types of studies are valuable, but what can be of more tactical value to the completion engineer is the analysis of job pressures, the determination of open perforations/clusters (without a step-down test), the effectiveness of acid, the effect of stress shadowing, quantifying mid-field fracture complexity and the first-order principles governing the fracture geometry.
Bazan Consulting, Inc.’s Applied Post-Job Analytics is an engineering based methodology that will analyze onsite data and provide immediate value related to job observations, open perforations and contributing clusters, 2D created and propped geometries, job execution performance and inventory control. This is not just data mining or database analysis, but rather a rigorous analysis of your specific horizontal well treatment data to determine the effectiveness of the fracture design and completion. In addition to execution related specifics, this information is a great baseline on which to qualify production between wells and different completion methods. Applied Post-Job Analytics is developed with analysis in five major areas:
- Post-Job Treatment Observations
- Perforation and Cluster Analysis
- 2D Fracture Geometry and Contacted Reservoir Area (CRA)
- Treatment Metrics and Analytics
- Post-Job Inventories and Treatment Characteristics
This work is done with 2D fracture propagation models in order to promote first-order modeling efficiency that encourages application to a greater number of wells. Certainly, this methodology when applied to a single well is informative, but with rigorous engineering review and integration of multiple stages and multiple wells, meaningful trends develop and large scale value emerges that will support improved design changes.