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Metrol’s R&D department has developed a variety of passive sensors for measuring downhole parameters. This includes fluid ID tools and flow measuring capability For example PRO-LOG and OCULUS
- Paragon
View downhole data at surface as soon as the string is in...
- Paragon
View downhole data at surface as soon as the string is in the hole to: Assess and adjust hydrostatic balance; Monitor reservoir information to adjust test time, maximise results and minimise cost; Gather valuable downhole information for troubleshooting
Metrol provides a number of downhole tools to the global upstream market with applications both onshore and offshore. The downhole data collection and control tools are key components to the successful implementation of an Intelligent Completions (Smart Wells) program.
- Extraction of Quantitative Trends
- Establishment of Knowledge Base
- Identification of Downhole Conditions Based on Quantitative Trend Rules
- Remark 1
In a normal state condition, drilling process signals show stationary variations with small fluctuations caused by noises. When the normal state condition switches to a different state or shifts into a faulty condition, the drilling signals may show significant magnitude changes, such as increasing or decreasing trends. For example, lost circulatio...
Drilling operators judge the downhole condition by observing the variational trends of the monitored drilling process variables. Common expertise is typically recorded in the drilling operation manual, based on which the knowledge rules associating downhole conditions and variational trends can be summarized . Table 1 presents the expert rules for ...
For online monitoring, the quantitative trends of drilling process signals are extracted in real time. Denote the extracted quantitative trends of the M drilling process variables at t as \(\left[ \eta _{1}(t),\eta _{2}(t), \ldots ,\eta _{M}(t) \right] ^{\mathrm{{T}}}\). Then, this trend combination is used to verify the comprehensive rule base R. ...
Compared to the existing approaches, the proposed method has the following novelties: (1) in addition to the characteristics of faulty conditions, this study considers the relationship between signal trends and several normal state conditions; (2) the proposed method extracts drilling signal trends using quantitative trend analysis, whereas most ex...
- Yupeng Li, Yupeng Li, Weihua Cao, Weihua Cao, Wenkai Hu, Wenkai Hu, Min Wu, Min Wu
- 2021
May 1, 2023 · These studies show the great potential of modeling nonlinear dynamic response for CNN and LSTM. However, few researches have been reported in the literature for soil seismic response prediction using deep learning methods based on the recorded ground motions from downhole arrays.
BENEFITS: Accurate decision making. Fast accurate reservoir profiling. Minimal installation time. Optimise rig time. Increase safety. Download. A selection of case studies showcasing Metrol's downhole wireless telemetry.
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Apr 1, 2022 · With advanced wireless telemetry, the Roxar Matrix Downhole Wireless Interface TM, together with Metrol devices, provides access to all the in-well instrumentation and control devices – without the need to install costly repeaters throughout the upper completion network.
