eDrilling and Aztech Well Construction, a well engineering and well project management service provider, today announced their partnership that will help E&P companies prevent hazards, avoid NPT, and optimize performance.

Through the application of best practice principles and experienced personnel Aztech provides complete project management solutions to operators in the oil & gas industry. The company have developed a depth of knowledge and expertise that encompasses the entire process to drill – from preliminary planning, detailed engineering, government approvals, contracting and procurement, through to managing operations at the rig site.

Combined with eDrilling’s AI, machine learning, and predictive analytics software for well construction, the two companies will together offer an all-encompassing solution for operators in the region, to help them to better plan, prepare for, perform and evaluate drilling operations.

“We keep the best interests of our clients a priority at all times,” said General Manager of Aztech Well Construction, Mark Jenkins.   “This partnership introduces a technology paradigm shift, and we are excited to provide these benefits to energy companies in the region.”

 “eDrilling is strongly committed to helping our customers leveraging the power of our technologies to improve well construction performance.  This combined with Aztech’s commitment to ensure wells are designed, drilled, completed and maintained to high and consistent standards will be a valuable offering for the energy companies in the region, said Derek Nadhan, Manager, Technical Services of eDrilling.

About Aztech Well Construction

Aztech is a Well Engineering and Well Project Management service provider. Their work includes projects across Australia and South East Asia with experience in a range of onshore and offshore drilling projects, including conventional oil and gas, shale and tight gas and remote jungle operations. More information on www.aztechwc.com.au

eDrilling presents a paper at this year’s ADIPEC, titled “Automatic real-time monitoring of drilling using digital twin technologies enhance safety and reduce costs”. We are presenting the findings from 10 years of operations globally. Using model-based reasoning (AI), predictive analytics, and digital twin technologies, rids downtime and hazardous incidents.

Time flies, it is a year ago we published our first study.  We have added 30 more digital twins over the past 12 months, and the analysis now include 90+ wells where a digital twin has been used in i) preparations for well, ii) automated monitoring of well, and iii) real-time optimization of well – or a combination of these,  And still, we find that

i)          0 – zero – had to carry out a sidetrack

ii)         None of the wells had hazardous incidents

The software detects at a very early stage any anomalies, and provide crew with warnings, notifications, and diagnostic messages in good time to make the necessary adjustments.

We continue to think is the biggest opportunity available today for performance optimization, avoidance of NPT, and hazard prevention, and are grateful to our customers around the world for the continued cooperation and success.

wellAhead Casing Shoe
wellAhead software, zoomed in on the casing shoe

Methodology

Analysis of 90+ wells where our technologies have been actively utilised in preparation and/or operation, and where we have had correct and sufficient data to conclude on the hypothesis.   Thus, 50+ of our digital twins in the period have been omitted, due to availability (contractual, geographical, policy) of data.

Sidetracks, or avoidance thereof, is the focal area of the study, although the study have also found that there had been 0 hazardous incidents on the 90+ wells analysed.

«Geological surprises» as reason for having to do a sidetrack are omitted.  Cuttings build up, collapse, washout, and packoff leading to plugging the well, are included.

We have had 5100+ participants in drill well in simulator prior to operations, with 150+ well specific scenarios.

Automated Monitoring and Real time Optimisation is used in all drilling operations. This includes Tripping, Drilling, Casing/Liner operations and Cementing. It is also used in advanced operations like MPD and DGD.

Digital Twin

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 does predictive analytics, as well as 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).

Findings

Of the 90+ wells analysed, 0 – zero – has had to carry out a sidetrack.  As the software at a very early stage detects anomalies, crews are provided diagnostics messages and notifications in good time to make the necessary adjustments.

Not a prime objective of the study, but included anyways as it continues to be a high priority for us, and for the industry as a whole, was avoidance of hazardous incidents.  We are happy, and proud, to say that we have had a 100% success rate here too.

Performance Optimization

We have not included performance optimization results in the study.  Mostly because we, and our customers, want to have the study be as focused as possible, and not try to cover all aspects at the same time.  That said, we have had some considerable success stories here too, with a European IOC estimating 19 days saved while drilling a vertical exploration well in the North Sea, as the most prolific.

Products involved

wəllSim hiDRILL is our solution for drill own well in simulator.  wəllSim hiDRILL provides safe, effective, and efficient well delivery for any planned well by giving crew skills and experience on the specific well.

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 future rig-side automation.

wellAhead- configurable views
wellAhead – always keep focus on the relevant areas

On Pertamina’s journey towards becoming a world-class national energy company they have built a new Pertamina built on commercial and operational excellence. As part of that journey, Pertamina EP Exploration have chosen eDrilling’s artificial intelligence, machine learning, and digital-twin technologies to support their drilling operations. Together with eDrilling’s partner Navita Origo – a company providing world leading real time monitoring software and services

eDrilling is at the SPE Workshop: Delivering Value Through Automation this week in Bahrain. We are there to share how our artificial intelligence and digital twin software enables drilling automation, and how our downhole technologies are now coming together with rig systems .

We share how 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.

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.

Hazard prevention

Prior to operations, eDrilling provides you with software to acquire skills and experience on you specific upcoming well, focusing on riskavoidance 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.

Performance optimization

Our software provides forecasting, forward-looking and what-if analysis, allowing for change in parameters for optimal drilling (drilling the perfect well).

NPT avoidance

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

Eni has recently chosen eDrilling well simulation digital twin and artificial intelligence technologies for supporting drilling activities – from well planning and training up to operation real time follow up.

Eni is one of the global oil and gas super-players, operating in 67 countries, employing around 32 000 people and with a production of 1,851 Million boe/day. In 2018 Eni has added 618 Million boe resources equity with important discoveries/appraisal in Egypt, Cyprus, Norway, Angola, Nigeria, Mexico and Indonesia (source: Eni Fact Book 2018) 

Updated introduction to technologies here.

Thanks to Pertamina for interesting dialogue on how this quantum leap in preparing for drilling operations rid hazardous incidents and non-productive time. We spent quality time with the visiting delegation on how AI and Digital Twin technologies enables Drill (own) Well in Simulator. eDrilling’s wellSim is the only software solution that makes it possible to pre-drill your own well, and have your entire crew (incl. service companies, operators, etc) practice on what is a dynamic digital twin of your upcoming well.

Pertamina delegation trying out wellSim at eDrilling HQ in Norway

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 does predictive analytics, as well as 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).

wəllSim hiDRILL is our solution for drill own well in simulator.  wəllSim hiDRILL provides safe, effective, and efficient well delivery for any planned well by giving crew skills and experience on the specific well.

Illustration of Drill Well In Simulator
Pre-Drill Your Own Well Prior to Operations

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.

Hazard prevention

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.

Performance optimization

Our software provides forecasting, forward-looking and what-if analysis, allowing for change in parameters for optimal drilling (drilling the perfect well).

NPT avoidance

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

eDrilling announced today that it has signed a contract with Gazpromneft-Yamal, a Gazprom Neft subsidiary, for the use of eDrilling’s software to optimize its drilling operations in the Tyumen region.

“Our objective is to improve performance across the board through the use of new technologies and design solutions in the field.” remarks Fedor A. Burkov, Head of Drilling support center, Gaspromneft-Yamal.  “Using software that feature artificial intelligence, machine learning, and predictive analytics, will result in real efficiency and safety gains.”

 “Gazpromneft is a leader in digitalization of the oil and gas industry,” adds Sven Inge Ødegaard, COO of eDrilling.  “Now Gazpromneft-Yamal will utilize our industry-leading solutions to save cost, improve safety, and increase efficiency of their drilling operations on the Yamal peninsula.

Gazpromneft-Yamal’s drilling support center will support all GPN fields in the Tyumen region.

Gazprom Neft is a vertically integrated oil company, primarily engaged in oil and gas exploration and production, refining, and the production and sale of petroleum products. Total hydrocarbon production in 2017 was above 89 mtoe, refining volumes – 40 mt. Gazpromneft-Yamal LLC is a subsidiary of Gazprom Neft. The company was established on September 30, 2011 as part of a project to develop the Novoportovskoye oil and gas condensate field.  Novoportovskoye is one of the largest developed oil and gas condensate fields on the Yamal Peninsula, located in the Yamal District of the Yamal-Nenets Autonomous District, 30 km off the coast of the Ob Bay. Its recoverable reserves of categories C1 and C2 are more than 250 million tons of oil and condensate, as well as more than 320 billion cubic meters of gas.  More information on https://yamal.gazprom-n

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.

Hazard prevention

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.

Performance optimization

Our software provides forecasting, forward-looking and
what-if analysis, allowing for change in parameters for optimal drilling
(drilling the perfect well).

NPT avoidance

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

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.

Aritificial Intelligence and Predictive Analytics improving drilling performancve
Hazard prevention and avoiding NPT
Marchine Learning improving Well Construction
Drilling Plan Optimization
Drilling Performance Optimization and Automated Drilling Control
Performance Optimization





















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.

Hazard prevention

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.

Performance optimization

Our software provides forecasting, forward-looking and what-if analysis, allowing for change in parameters for optimal drilling (drilling the perfect well).

NPT avoidance

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.

Digital Twin

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).


MOL is preparing for upcoming exploration, by drilling well 3/7-11 S Otta/Vinstra (in PL 539) in wellSim using digital twin prior to operations.

Rowan Viking is contracted for the well, located in the southern part of the North Sea, close to the Harald Vest field on the Danish side, and 45 km east of the Valhall- and Ekofisk fields.  MOL plan to drill the main bore for Vinstra, followed by a sidetrack to shallower formation Otta.

MOL owns 80% of the field, and Lundin 20%.  Drilling is planned to start April 1st.


wellSim hiDRILL Center, Stavanger, Norway
wellSim hiDRILL
wellSim hiDRILL screenshot
Rowan Viking
































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.

Hazard prevention

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.

Performance optimization

Our software provides forecasting, forward-looking and what-if analysis, allowing for change in parameters for optimal drilling (drilling the perfect well).

NPT avoidance

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.

Digital Twin

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). ffffffff

We are expanding rapidly, and we are looking for great people to join our team in Singapore.  We are looking for people who are passionate about how new technology can improve how people and organizations live and work.  eDrilling is a software company, that through artificial intelligence, machine learning, predictive analytics, and digital twin technologies, represent a paradigm shift in well construction and drilling operations in the energy industry.

Interested?  Send an email to info@edrilling.no, with a link to your LinkedIn page.  We would love to hear from you.