Firstly, our paper (presented by Maryam) has been chosen as one of the highlights at this year’s SPE/IADC Drilling Conference. She will talk about how our AI technologies are effectively used to derive conclusions (i.e. diagnosis or a prediction), avoiding incidents and non-productive time and maximize value of drilling operations
Furthermore, we are sponsoring the DSATS/IADC Art Symposium: Digital Twin for Drilling – Connecting the Physical and Digital World. It takes place on Monday, March 4 at 13:00 to 17:00.
Finally, you can find Kenza and Maryam at the exhibition all week, booth #65. See you there.
eDrilling is a world leading supplier of AI, machine learning, and predictive analytics solutions to the oil and gas industry. We work closely with E&P companies, operators, and service companies to help them save cost, improve safety, and increase efficiency of drilling operations.
Our mission is to help energy professionals at E&P companies, operators and service companies reach their goals by providing drilling and well performance solutions needed to better plan, prepare for, perform and evaluate drilling operations.
Our vision dates back to the late 1980s, when we wanted to create a downhole GPS, or Google Maps if you like, for drilling operations. Convinced artificial intelligence and machine learning technologies would represent a quantum leap in well construction, we set forth what has become a paradigm shift in the oil and gas industry. For over 25 years, leading E&P companies, service companies, and drilling contractors, have leveraged the power of these technologies to improve drilling performance, onshore and offshore, deep water and shallow water, complex wells and factory drilling. Globally.
Prior to operations, eDrilling provides you with software to acquire skills and experience on you specific upcoming well, focusing on risk avoidance and handling. During operations, eDrilling software at a very early stage detects anomalies, crews are provided diagnostics messages and notifications in good time to make the necessary adjustments.
Our software provides forecasting, forward-looking and what-if analysis, allowing for change in parameters for optimal drilling (drilling the perfect well).
As above, eDrilling uses aritifical intelligence and predictive analytics to foresee what will happen with your well. Software provides diagnostics and first actions to the crew (or directly to the control system), in order to change the drilling plan – to avoid problems
Drilling Plan Optimization
Using dynamic simulations to provide accurate modelling, our wellPlanner™ addresses the industry’s need to improve safety margins and reduce and rid themselves of risk, as well as the need to drastically reduce well planning time.
Automated Monitoring and Real Time Optimization
wəllAhead™ is eDrilling’s software solution for automated monitoring, real-time optimization, and live well support. It is designed for use on rig, in Real Time Decision Support Centers, and for any other individual or teams supporting live drilling operations. It is also the foundation of any viable rig-side automation
Automated Drilling Control
Utilizing the same artificial intelligence and machine learning technologies in wellAhead, integrated with the rig’s Drilling Control System, our automated drilling control software will help keeping the operational parameters according to well limits. Enabling drillers to increase safety and optimize the performance of drilling operations.
Dynamic Well Control
wellWCA is our solution for dynamic well control engineering for planning and operations. It helps you minimize downtime and make the right decisions, by providing design and implementation of a safe and effective well control operation.
Drill Well in Simulator
wellSim™ is the software product family for engineering and training of all well engineering disciplines. By improving insight and understanding of dynamic well behavior, it has the potential to change the ways yReal-Time
Managed Pressure Drilling
Our wellBalance™ improves any MPD control system to better keep a constant bottom hole pressure during MPD-operations and perform planning with an offline model. wellBalance™ provides real-time set points to the MPD control system, based on dynamic real-time simulation, calibrated against downhole measurements. It is complemented with an offline simulation tool, wellBalance™ Offline, to use in engineering and planning of the MPD operation.ou plan and drill your complex wells.
A Digital Twin is the digital representation of your actual well. Used in preparation it enables you to pre-drill your well. Used in real-time operation it enables you to do forward simulations and what-if simulations to detect mismatch and give input to change the drilling plan – to avoid problems, see and detect operational mismatches, and change parameters for optimal drilling (drilling the perfect well).