Artificial intelligence

Production capacity at the Belbazem offshore block is set to progressively ramp up to 45,000 bpd of light crude and 27 MMcfd of associated gas, contributing to ADNOC’s target of reaching 5 MMbpd by 2027.

By combining Chevron’s artificial-intelligence models for automated fault detection, with Eliis’s global methods for advanced seismic interpretation, the time needed to perform structural interpretation, in all geological settings, can be reduced by orders of magnitude.

The firm’s event-driven software monitors for corrosion threats allowing organizations to act before damage occurs, analyzing integrity data in near real-time. The integrated dashboard displays a live, round-the-clock snapshot of an asset’s performance to provide instant insights into its current condition while forecasting the future states of safety-critical systems.

Chair and CEO Julia Sweet of Accenture put into words what most companies recognize: AI represents one of the “most exciting times to lead companies.” With AI, breakthroughs in operations efficiency and reducing emissions are much closer, so that the energy industry can enhance the core of what they do.

Advanced AI is gaining a foothold in the oil field as drillers and producers are relentlessly focused on improving efficiency. While the technology is being tested around the globe, the U.S. is perhaps the most important spot to watch.

tde powerline is the industry’s first downhole high power, high bandwidth data highway enabling intelligent digital drilling systems - a key enabler for AI driven solutions and drilling automation.

A new AI-driven solution provides insights that enable rig personnel to act earlier and more confidently, reducing risks and improving well delivery.

Palantir’s Foundry Platform and Artificial Intelligence Platform (AIP) will be deployed in a three-year agreement to help Bapco Upstream maximize its return on investment on energy production in the country and support its mission to connect the energy infrastructure of the Kingdom of Bahrain in an unprecedented way.

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.