David Shackleton (Independent Data Services) automates wellsite reporting with Witsml and Anova analytics providing comprehensive analytics on machine readable data. The idea is to move from traditional ‘static’ daily drilling report to ‘lean’ automated reporting leveraging Energistics’ Witsml data exchange standard. The focus is on the ‘activity’ part of the report, the payload. IDS had developed a user-friendly front end for manual data capture. Other data can be extracted automatically from the rig (via Witsml) and sources such as SAP. The combined data set can be piped into third party drilling data systems from Peloton and Halliburton. The IDS system is coupled with an Anova database for storage, analytics and graphics.
Dan Mackie presented DrScada’s wellhead managers in a variety of case histories, reducing and optimizing workover frequency, minimizing chemical use and avoiding issues such as high fluid level. What is a wellhead manager? An edge device that uses load and stroke data to optimize operation of the pumpjack. For some situations, like sand inflow, the pump stroke can be automatically adjusted to keep sand production below a threshold. ‘Instead of learning that production is down today, the wellhead manager can alert you to a problem ahead of time’. Leak detection and wax build-up are also candidates for DrScada’s early warning system. Mackie also gave a shout-out for Adoil’s Titan spill protection and wellhead containment system for soil and groundwater protection. More from DrScada.
Zack Munk, Rockwell Automation explained how, in shale production, production characteristics change quickly and require multiple artificial lift methods. As these change, instrumentation and control systems need to adapt. Rockwell’s ISaGraf IEC 61131 is the system of choice with embedded Linux and C language programmability. The system consolidates pump data from load cell, vibration monitor, leak and tubing pressure and allows for optimum production rate without excess gas/sand/water. Well test information is pushed into the edge device’s algorithm over Microsoft Azure IoT/MQTT. The system permits auto-discovery of new devices on switch-on. The cloud/on prem system analyzes incoming data and acts as a gateway for production management system (Avocet). Event driven workflows use real time data to constantly check for known equipment states. For instance, the system may warn of a potential gas lock situation, operators can then click through to a gas lock wiki page for help and recommended actions. The MQTT IoT protocol is said the be key to security and data reliability.
Karthik Rau gave another ‘edgy’ presentation, on Flicq’s ‘AI at the edge’. Flicq’s smart sensors run algorithms and analytics at the edge i.e. on site. An asset’s performance history and operational parameters can be embedded into the devices. The system analyzes data in real time ‘obviating the need for post-processing’. There is ‘no infrastructure to set up and no wires to worry about’, making ubiquitous condition monitoring possible. More from Flicq.
Bart Stafford presented Epsis’ Team Box, the user-configurable engine behind Chevron’s integrated operations center (IOC). Team Box is presented as an operating system for the IOC that consolidates information from PI, SAP, SharePoint and Oracle, for presentation on the wide screen of the control room, or other Team Box connected endpoints. Chevron is the Epsis poster child through a worldwide master software license. More from Epsis.
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