Our offer is based on a general philosophy of building knowledge through studies covering several scales, guided by field response. Only in this way an efficient learning can ensure a rational predictive development. The implied symbiosis between teams and expertise within a series of tools guaranties long term profitability, given the flexibility of its underlined workflow.
A special relationship between Fitsimm and the Client in which expertise merge, is facilitated by our stage gate offer:
POP – POC Studies
Given the fact that our software increases the number of scenarios representing then explaining fracture geometries, comparison between designs or development schemes requires highlighting characteristics between options, confronted to field data. POP studies can fit this purpose, quickly, requiring a minimal amount of data.
A “proof of pertinence” study aims to compare a-priori ideas about the configuration of the fracturing process, the field characterization results and the production/injection scheme, to more complex fracture geometries within the same reservoir setting.
The client will consequently learn from this study new ways to look at fracturation, testing plausible configurations, away from his or anyone else a-priori ideas.
Aim to understand all stages stimulation and production performance within a well. One main advantage of such a study consists in calibrating stimulation from multiple sources, thus reducing uncertainty in terms of production. The original design understanding can lead to alternative possibilities, thus potentially reducing by 10 to 20% the total number of stages. Another advantage could be to maintain the original design yet changing the amount of injected fluid. The main problem consists in learning through this study, something which could be used either at the pad or even larger scales. Therefore to limit the number of well studies, representativity of such a well needs to be addressed.
Pad, or interference studies (parent-child wells)
These studies, after POP or well ones, focus on understanding two major issues, which are the extension of individual well studies to a pad (representativity) and connectivity between wells. Accurate fracture description is then mandatory, these issues impacting the economics of the process. The loop procedure requiring fracturing for production, yet not adequately representing fractures can only lead to a never ending dead-end. Invoking exotic explanations causing interference between wells using simplistic boundary conditions (fractures), imposed by computational inadequacies, lead to misinterpretation.
Our tool carries a large amount of field heterogeneity (as seen in HFTS), therefore improving long term predictability. Our approach (through the computationally efficient simulation match of BHP, microseismic and production) helps you addressing such issues.