WSI Innovation Challenge

“WSI Innovation Challenge” is our channel to reach out to innovative people. We are constantly looking for solutions to our industry problems and recognize the need to collaborate with researchers and creative people. At regular intervals, we post a new challenge related to our industry and invite you to submit your proposals. For new announcements, follow us on this page.

Application of Artificial Intelligence in Drilling, 21st May 2019

We are looking for new ideas to implement the artificial intelligence in drilling and improve our performance. You need to form a synergy between drill engineers and computer scientists to come up with a practical solution. As a winner you will receive,
• 30.000.000 Rials Cash prize
• 500.000.000 Rials Initial investment
• Additional investment upon success of the first phase
• Free co-working space in our office
• Support of our experts throughout this process
To get started and to find some ideas, read more in the article below. To submit your proposal, visit our academic partner’s website at and register by 21st May 2019.

How Artificial Intelligence Will Benefit Drilling

An extract from a paper by Nii Ahele Nunoo, JPT, May 2018
Technological innovation is a critical driver of economic growth in the oil and gas industry. The end goal for AI is to have combined systems that know how to perform a function on their own. AI is the bridge between automation and optimization.
AI can help address some drilling dysfunctions by using an analyzing downhole data acquisition system (sensor data). Another key benefit of AI-infused drilling is safety.
AI will aid in the execution of both manual and digital backend processes, eliminating repetitive tasks such as pipe connection as well as documentation of daily functions such as mud reports, blowout preventer checks, and equipment maintenance reports.
The future of AI in drilling is the introduction of smart control systems/platforms/software that companies can plug in and use to control the drilling process on-site and remotely.
Intelligent drilling automation is an essential improvement as no one wants to be the key decision maker at the rigsite because of the number of hands on the jar. It may not change the way the industry drills wells but rather will take current drilling practices and improve real-time decision making.
Many drilling operations can be changed or improved using computational intelligence and mathematical optimization, including
• Reduced drillpipe wear
• Bit direction guidance
• Directional drilling decision automation
• Measurement while drilling
• Managed-pressure drilling
• Mud programs
• Casing while drilling
• Rig operations processes
• Increasing production with targeted precision
• Decreasing drilling time
• Wellsite geology automated formation top correlation
The best practical method for AI implementation is launching the foundation of the current setup, standardizing controls, using sensor-based integrated analytical feedback, and then implementing the judgment-driven models.

How we can prepare as an industry for this disruption which promises to lead to better wellbore quality and increase production?