Artificial intelligence

The Geminus model builder fuses physics-based approaches with process data to produce highly accurate AI models that can be deployed at scale, far faster and at much less cost than traditional AI approaches.

LightOn's AI targets industrial applications through the use of their generative AI Paradigm platform, while CGG's outcome-driven, highly optimized and sustainable approach to industrial HPC, based on its proprietary immersion cooling technology and use of 100% renewable energy, is well proven in the energy industry.

In today’s volatile environment, there is a pressing global need for secure, sustainable and affordable energy. Oil and gas exploration and production companies must optimize performance to remain profitable, while also reducing geological risks—especially for structurally and lithologically complex reservoirs. The future of the upstream industry lies in the adoption of innovative geoscience digitalization solutions to optimize operations. Machine learning applications for geoscience data have been in use for more than 25 years but have become critical in recent years due to the massive growth in the amount of petrotechnical data being acquired. As machine learning evolves and gains acceptance, it will play an increasingly visible role in analyzing surface and subsurface data. Join World Oil and AspenTech for this webinar to learn how to: • Improve digital representations of the subsurface, such as rock prediction volumes, using machine learning and AI • Leverage, QC and de-risk existing data from the subsurface, and display them in a comprehensive manner • Make faster, more educated business decisions at lower cost Register now to join the conversation and hear how you can leverage digital solutions to increase exploration success.

The RoboWell system utilizes real time data to continuously react to changing oil field dynamics, to optimize production processes, as well as ensure operation within safety parameters to minimize well instability and reduce the risk of stoppages or other incidents.

The Advanced Reservoir (AR) 360 solution drives optimization within upstream oil and gas exploration and operations, enabling greater efficiency and reducing operational energy use and emissions.

While at SPE Offshore Europe last month in Aberdeen, Scotland, World Oil had a chance to visit with two of DNV’s section heads handling various aspects of the digital side of upstream oil and gas. What follows are some highlights of that visit and specific projects that DNV is undertaking.

Flowco Production Solutions announced the immediate availability of the APEX Multi-Well Controller, giving oil and gas operators more precise monitoring and control technology to optimize their well pads for gas-lifted, plunger-lifted, and GAPL (gas-assisted-plunger-lift) assets.

Drilling Activity generates a significant amount of data. This data is typically captured across a variety of sources such as time and depth series data from geological surveys and drilling operations, unstructured data from End of Well reports, and structured data from internal IT systems. To date, synthesizing this data into a usable format and generating actionable insights has been a challenge. In this talk, we present results from a fielded Gen AI solution that synthesizes data from our historic drilling wells in Romania and provides a natural language interface for drilling experts to interact with. Additionally, it provides recommendations for optimizing well design and performance parameters based on past results. Our goal is to reduce project costs by streamlining information discovery and improve decision accuracy by leveraging data-backed insights.

Amazon Web Services, Inc. (AWS) announced five generative artificial intelligence (AI) innovations, so oil and gas organizations of all sizes can build new generative AI applications, enhance employee productivity, and transform their businesses.

PetroVisor has already effectively integrated multi-source production and well testing data from fifty wells, resulting in enhanced production estimates, streamlined back allocation processes, and predictive insights powered by automated Decline Curve Analysis.

The PulseStar service uses telemetry for remote operations to minimize human interaction and enhances on-bottom drilling time.

Huawei's intelligent E&P solution integrates high-performance computing, massive data storage, AI exploration models, and collaborative scheduling of software and hardware resources.

INEOS Energy will partner with SLB’s Performance Center in Aberdeen to collaborate and innovate subsurface technologies, including AI capabilities, to help it drive operational performance for continued growth, new acquisitions, and carbon capture and storage (CCS). 

Globe combines proprietary computational modelling and AI-led machine learning techniques with Getech’s geoscientific expertise to deliver a unique Earth model that enables its customers to identify new resource exploration opportunities.

The collaboration will see the construction of the Microsoft Azure High-Performance Computing (HPC) AI infrastructure platform to support and scale a wide array of applications that would optimize PETRONAS Upstream’s operational efficiency.

As part of the collaboration, the two parties will work together to pilot and test AI solutions to discover viable applications and use cases that can create value across multiple business verticals in the energy sector on a global scale.

Discover how Nabors Industries and Corva are transforming the drilling industry with data and automation in this exclusive webinar. Nabors Industries is a global leader in drilling and rig services, and Corva is a pioneer in real-time drilling analytics. Together, they have developed cutting-edge solutions to optimize drilling performance, enhance safety, and reduce environmental impact. In this webinar, you will learn about the current trends, challenges and opportunities in the global oil market, and how Corva and Nabors can help you achieve your drilling goals with data, cloud computing, and artificial intelligence.

The software, which is applicable to all major hazard industries, will prompt users to consider risks they may have missed, assist in answering questions and provide guidance on good practice as well as past incidents with relevant learnings.

Automation is a key component to reducing the carbon footprint of operations and increasing drilling efficiency. Using A.I.-driven power management systems optimizes power usage while minimizing fuel consumption and carbon emissions.

Vision AI solutions for the upstream industry combine the latest AI, 5G, and Edge technologies for rapid visual data curation, proactive remote monitoring, continuous tracking, and automated alerting for solutions scaled across E&P sites and facilities.

The state-of-the-art subsea platform, an unmanned underwater vehicle ("UUV") with advanced artificial intelligence, sensing capabilities, and more can perform a growing number of jobs without hazarding human divers.