Digital Transformation

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.

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.

The UK HPC Hub leverages CGG’s decades of innovation in efficient, industrial HPC design and operations for the energy industry.

As we stand on the brink of a new era in the energy industry, the adoption and integration of robotics has become a leading topic in our discourse. This transformation, while still in its early stages, promises to revolutionize how we manage safety, productivity, and data within our operations—going as far as enabling the coveted state of remote operations.

The radar-based solution uses upgraded image processing technology to detect even more, but capitalizes on machine learning to teach the system what needs to be responded to and what should be ignored.

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.

It is estimated that the USV solution can reduce CO2 emissions with more than 90% compared to a conventional offshore vessel when conducting subsea IMR operations.

The digital workflows will use the OSDU Data Platform standards to improve the positive customer experience by business users—increasing efficiency and collaboration, while producing better insights to Shell and the energy industry.

Artificial Lift secure controllers are revolutionizing and shaping the future of the oil and gas industry by enhancing operational efficiency and automation. Discover the cutting-edge advancements and immense potential of secure controllers, while also conducting a thorough gap analysis for field automation. Furthermore, gain a comprehensive understanding of the critical IT cybersecurity requirements associated with these controllers.

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.

This first-of-its-kind device addresses reservoir fluid uncertainties and allows the operator to enhance oil and natural gas recovery in wells where current autonomous technologies are limited.

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.