The current reservoir-performance-monitoring technologies are being improved continuously for better reservoir understanding, more-accurate short- and long-term production forecasting, and lower overall operational costs. The industry is becoming more efficient at using existing technologies to improve mature-field performance and surveillance. For instance, new approaches and models have been presented recently for operational optimization and future-production-behavior predictions, especially in unconventional reservoirs.
As activity plummeted to record lows, we witnessed a calibration of completion strategies. Whether it was further optimization of the preferred completion technique, implementation of new technologies, or a complete shift in completion philosophy, no stone was left unturned when it came to designing and implementing the well architecture. The primary objective was improving well economics, of course, through reducing costs or increasing productivity. So, how does the well completion fit into this overall goal of cost reduction and productivity increase?
As systems automation becomes more widespread in drilling, simulators are required to plan, train rig crews, and monitor real-time operations. The role of drilling simulators can only increase in the future, because training of crews must improve for automation. Demanning at the wellsite is feasible only if the remaining crewmembers are well-trained across multiple disciplines. Real-time monitoring using simulators is not new, but it is approaching a higher level of sophistication with real-time calibration and validation of modeled parameters.
In years past, analytics in the oil field meant running iron and manganese counts to determine corrosivity in a system or measuring a phosphorous residual to determine a phosphonate scale-squeeze chemical-flowback profile. Today, this is a given and the techniques used to perform this can be found in most, if not all, technical service laboratories or even can be implemented directly in the field. In the past decade, analytics in the oil field has grown to be a major discipline, integrally supporting the application of many different types of production chemicals and becoming viewed by some as a technology differentiator.