Digital Transformation

AI and energy: The promise ahead

A modernized communications infrastructure that can see, think and act, and enable the upstream industry to build the resilience and digital capabilities in needs, is a must. And the components for it are here now.

A unique collaboration is enhancing gas production, reducing emissions, and boosting revenue generation while controlling costs.

On the North Sea Yggdrasil development, service providers are collaborating to develop three platforms that will operate remotely from an integrated onshore operations center. The project draws on experience gained from the Ivar Aasen venture, marking a significant step forward in the pursuit to increase offshore efficiency and sustainability.

Join us for an innovative collaboration between ShearFRAC, Drill2Frac, and Corva, designed to revolutionize your completion operations through data-driven solutions. The journey to enhanced capital efficiency begins with Drill2Frac’s characterization of the lateral, providing a solid foundation for proactively developing an optimized completion strategy for the actual well drilled. During the stimulation treatment, ShearFRAC will showcase how pressure responses are continuously monitored, enabling real-time recommendations for operational adjustments. This process ensures that your operations remain responsive and adaptable, leading to improved performance. These processes are made possible through Corva's cloud-based data capture and analytics platform. This technology fusion paves the way for accelerated production recovery, minimizes fracture-driven interactions, reduces completion costs, and lessens the environmental footprint of your operations. We will equip you with the knowledge and insights necessary to harness the power of data and analytics, empowering you to enhance capital efficiency across the entire completion value chain.

The system integrates in-well monitoring and control of gas lift well performance with surface analytics and automation to continually optimize gas-lifted fields, remotely and without intervention.

The collaboration will set the benchmark for simulation technology, centered on enhancing personnel skills to protect the environment, prevent offshore incidents, and perform holistic crisis management in advanced offshore operations.

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.

By combining ProACT's advanced analytics with Max Platform's powerful data capabilities, operators can optimally manage the construction of wells.

The firm has secured a record £2 milllion ($2.14 million) in topsides asset integrity awards with new and existing clients, amplifying its agile data-driven intelligence services further across the UK.

What started as a modest tournament raising funds for a single charity has grown into one of the largest non-PGA golf tournament fundraisers.

Under the agreement, Halliburton and Sekal are collaborating on several technologies and services that incorporate Halliburton digitally integrated well construction solutions and the Sekal DrillTronics automation platform.

In the rapidly evolving landscape of the energy sector, innovation is more than a buzzword: It's a necessity. As the industry grapples with tighter margins, workforce shortages and the imperative of the energy transition, the role of digital technologies in simplifying and optimizing multiple activities in the industry has become increasingly pivotal. This article explores how next-generation digital technologies are reshaping this sector, driving efficiency and generating greater economic returns.

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.

An innovative digital solution prepares an operational database and stores performance results of drill bits, motor power sections, RSS, BHA configurations and drilling fluids. After parameters of a planned drilling run are set, a multidimensional distance-based approach selects similar previous drilling runs for analysis. The process enables rational technology selection recommendations.

The innovative solution offers offshore professionals access to an extensive range of forecast map layers visually animated on a global scale to customize their user experience and receive valuable insights into current and future weather conditions.

By tailoring the AICVs for each reservoir’s needs based on the fluids viscosity and density contracts, the AICV enables operators to optimize zonal production rates based on the composition of the fluids.

In the oil and gas sector, digital transformation is currently in its early stages, yet its potential to profoundly revolutionize industry operations is undeniable. Oil and gas companies and operators that proactively embrace digital transformation will find themselves more competitive and better positioned for success in the future, benefiting from substantial enhancements in their operations, processes, and business models. The primary objective is to harness the full capabilities of AI, ML, IoT, and big data to mitigate risks, automate tasks, and enhance decision-making processes. To ensure your ecosystem is well-prepared for this transformative journey, we invite you to join a panel discussion led by industry experts from Ericsson and Tata Consultancy Services (TCS). During this session, we will explore leading trends, impactful use cases, and best practices meticulously designed to accelerate your digital transformation journey. You’ll be sure to gain valuable insights into the strategies necessary for navigating this evolving landscape successfully while mitigating risk.

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.

As part of the development project, the Miros system will be matured and installed with a cloud-based add-on to the monitoring software currently in use offshore Brazil, thereby allowing data to be safely shared with multiple stakeholders in real-time.