Multi-Level of Fracture Network Visualization: HFTS-1 Use Case
- Moreover, multi-level (well-level, segment-level, and stage-level as shown in the figures above) analysis and visualization have also been developed for producing the best value of each individual dataset based on its insights and resolution, and then researchers collectively integrated such results to the comprehensive fracture network understanding with ML techniques. The workflow were tested based on the field data from HFTS-1 and have shown great value for fracture network visualization and impact among wells.
- The multi-level analysis provided development of cross-checking insights from such datasets and benefit to uncertainty reduction as well as bias correction. The technique can be easily transferred and deployed to other fields including CO2 storage.
- The web-based interactive multi-level visualization offers a novel opportunity to zoom in/out of the fracture network insights and is user friendly for performance analysis; fracture diagnosis; and interference indications in well-level, segment-level, and stage-level for real-time decision support, ultimately reducing risk for decision support.
- The visualized fracture network can provide insights for decisions concerning completion/fracture design; frac-hit and diagnosis; re-fracking/re-stimulation; wellbore protection; infill and spacing optimization; choke/drawdown management; production performance analysis; and well shut-in and production management strategies for unconventional plays and geothermal reservoirs as well.