Artificial intelligence

Following commissioning, Nauticus expects to send the initial Aquanaut MK2 units to the North Sea and the Gulf of Mexico in the coming months to support customer initiatives in those regions.

The deployment provides scalability, flexibility, integration, and third-party collaboration and accelerates the adoption of machine learning and artificial intelligence across the drilling and wells organization.

As ML applications become easier to access and use, they are setting the stage for rapid scaling across the E&P industry to assist the human decision-making process. A new ML-based drilling system recommender illustrates how this scaling is improving drilling performance and reducing energy extraction costs.

The Envana™ digital emissions management solution provides a smarter and more accurate picture of emissions, which gives companies actionable information to manage and reduce their total carbon footprint.

By forging this new relationship with DataRobot, Weatherford will accelerate the development of machine learning and AI-enabled offerings within its digital solutions portfolio to deliver disruptive and innovative technologies to the oil and gas industry.

Bumi Armada, international offshore energy facilities and services provider, has partnered with OPEX (an ERM Group Company) to drive down carbon emissions on its Armada Kraken FPSO facility, which serves the EnQuest-operated Kraken Field located in the northern North Sea.

Seismicity reviews are conducted by the Underground Injection Control Department for injection/disposal well permits in areas susceptible to earthquakes and in certain geologic zones.

A domain-centric approach when applying AI technologies is being used to solve issues in challenging wells.

Schlumberger announced it has expanded its global INNOVATION FACTORI network with the inauguration of a new center in Oslo, Norway.

An integrated platform, incorporating data from multiple systems that are accessible to a real-time operations center and field personnel, produces a comprehensive model of a company’s ecosystem. The innovative combination results in safer, more reliable operations with less downtime.

Rapid advances towards achieving our decarbonization responsibility in energy, while delivering the enormous productivity gains required to keep up with substantial growth in the world economy this decade, face the innovation dilemma—how do you achieve meaningful innovation at enterprise-scale? Join Schlumberger, Director, Corporate Strategy & Marketing, Amit Singh, as he presents real-world solutions to the energy dual challenge, with examples of highly-successful deployments of digital technology that harness data and AI to deliver automation for customers around the globe. Amit will show how Schlumberger is leveraging industry-wide collaboration and partnership to deliver low carbon operations while driving a sustainable future.

Schlumberger expanded its INNOVATION FACTORI network with the opening of a new center in Houston, Texas.

Automatically prioritize wells by the criticality of their real-time operational condition with ConnectedProduction Lift Surveillance’s state-of-the-art artificial intelligence software. It’s easy to deploy and available in both cloud (SaaS) and on-prem architectures to fit into your organization today, regardless of size, scale, or level of digitalization. Created by combining technologies from trusted industry leaders Schlumberger Technology and Rockwell Automation, you can rest assured the software will continue to grow and adapt for years to come.

Mud gas and cuttings analysis remains at today the only direct measurement of, respectively, the reservoir fluid and rock, until a PVT sample and a core are available for laboratory analysis. Surface logging data is an attractive solution for the client to take real-time decisions as they are available while drilling, on a continuous basis and at relatively low cost. Nowadays the accuracy and quality of the surface logging data has reached a level comparable to more sophisticated downhole tools thanks to the technological evolution, processes automation and innovative digital workflows. In this presentation we will describe how Artificial Intelligence and Machine Learning models and ground-breaking algorithms permit a more quantitative and objective approach to determine lithology classification, enhance the accuracy of the mud gas data even in extreme drilling conditions and enable predicting fluid properties while drilling.

Modern, open-architecture programming is unlocking the value of upstream data to deliver more efficient, and safer, workflows that meet the objective of improving return on investment.

Following the pandemic, companies are adjusting operating philosophies to focus more on production optimization and maximize existing investments. This growing need has fueled interest in the latest digital offerings, especially for remote operations, visualization, Edge automation and artificial intelligence.

Fifty-five FPSO units in the global fleet are reaching the end of their design life in the next five years, and a further five have life extension in place. With 19 more FPSOs currently being evaluated for life extension, what are the possible safety issues from corrosion and other structural integrity concerns?

Efficiency of existing operations and investments in upstream oil and gas requires a new approach. Cleaner, safer, more efficient energy production is needed to meet increasing demand while reducing emissions. Artificial intelligence (AI) and machine learning will play a pivotal role in unifying siloed upstream data and better optimizing field operations to meet these needs. In this webinar, World Oil editor Craig Fleming hosts a discussion about the state of digital adoption in upstream oil and gas, the complexity of adopting and scaling AI, and examples of how AI is being applied today for improved outcomes.

Advances in drilling technology increasingly require collaboration by traditional drilling players with partners outside the core of the oil & gas industry. Identifying who can provide the missing innovation pieces – whether it is a technology company to develop software for an advanced exploration system, or an academic researcher with expertise in an obscure chemical discipline – is a critical step for innovation in drilling. Join PatSnap to learn how connected innovation intelligence tools and techniques can be used to empower the drilling industry to discover and collaborate with the best possible partners.

While digitalization has improved project economics and streamlined operations, it also has brought the need for AI-enabled solutions to support sustainable growth and provide security against cyberattacks.

Norway’s Petoro and Schlumberger recently collaborated to develop a well placement solution that automates ensemble-based reservoir modeling. Based on AI and automation, the solution helps Petoro to accelerate and improve offshore field development planning and well target selection.