Founded in 2005, Oilfield Data Services is a consulting firm that specializes in reservoir and production engineering and frac design/evaluation.
In addition to our consulting work, we have developed a real-time integrated well-completion-reservoir monitoring system. The software resides on the operator’s server, inside their firewall. It then polls the SCADA/DCS/Historian, performs its automated calculations & writes the data back to the server.
- Wellbore Modeling – parametric models for thermal effects & phase behavior coupled with our direct solution to the Mechanical Energy Balance
- Rate Calc for Oil and Gas Wells using DP (delta pressure) between gauges in the well bore
- Water Cut Calc for Oil wells using DP between gauges in the well bore
- Calculation of mid-completion or Datum BHP (bottomhole pressure)
- Transient Recognition and Automatic Well Test Analysis
- Looks for build-ups, drawdowns & major rate changes
- If transient has good data, analyzes the data for skin, perm & P*
- Generates Well Test Analysis Report
- Productivity & Inverse Productivity Tracking
- Automatic P/z and SLD-P
- Looks for build-ups
- Determines if the build-up is long enough to determine P*
- Keeps track of Cumulative Production
- Uses valid P* points to generate P/z and SLD-P plots
- Determines minimum and maximum Hydrocarbons-in-Place
- Also has corrections for strong water drive and geo-pressure compaction
- Hydrocarbon Volume Determination
- Splits calculations into Remaining & Total
- Running MBAL (In-place volume)
- Running EBAL (hydraulically connected volume)
- Running Thermo-BAL (mobile volume)
- Water Component Determination
- Rock Compaction Component Determination
We are currently working on linking our reservoir simulator to our completion and wellbore models to create a "transient nodal" package. This package will allow reservoir pressure to change, allow fluid and rock properties to change, and allow wellbore temperatures, pressures and phase behavior to change. With these features, the program will then have the ability to alert engineers/managers if the well performance is not matching the models, and will eliminate the "snapshot" errors of current nodal programs.
The software also works on historic data and can review months or years of high-frequency data very quickly, looking for changes in the well performance and apparent hydrocarbon volumes.
Automated Production and Reservoir Surveillance Systems: Why is it that with all of the technology at our disposal, the oil and gas sector is still decades behind the process industry? Is there something about the oil patch that prevents technology from being properly deployed and utilized to make better decisions?
How does a company spend $40 Billion on $10 Billion of Oil and Gas? How does a company let a 10,000 STB/d well’s completion fail? How does ‘going to the cloud’ produce more oil and gas from a reservoir? How does new technology (A.I., Smart wells etc.) change the way management makes decisions?
Is it the technology…or is it us? (Spoiler Alert: It’s Us!)