Artificial intelligence

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.

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.

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.

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.

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.

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.

Come and discover how our ready to run service enables seamless connection to AI and domain applications for faster and improved decisions. Learn how all the tools needed to automate data loading, quality control, governance, discovery, sharing and consumption are built into a single environment that can be deployed globally through strategic partnerships.

Oil and Gas companies are investing in applications to analyze data in real-time and improve the business performance. That investment involves computing platforms that are reliable in harsh environments where oil and gas assets exist. Streamline Innovations will share their application of advanced technology and how they are enabling clients to meet environmental objectives. Hear from Peter Photos, Streamline Innovations and Corie Allemand, Stratus Technologies on digital initiatives that increase efficiency, safety, and profitability. Join us for a discussion on: -Streamline Innovations use of advanced applications -ROI of Edge Computing for Streamline -Redundancy and virtualization in Edge Computing

A thousand alarms but only one important event. This is the reality facing many operators of electric submersible pumps (ESPs). With so much reliance on people rather than digital tools to prioritize events, it is difficult for field engineers to respond to the most important. The disparate, hit-and-miss analytics of slow-loop systems makes it difficult for operators to identify ESP issues and respond to them in a timely manner. Sensia AiRP captures, prioritizes, resolves, and reclassifies ESP events in an integrated environment, creating a single-view workflow that brings together the latest advances in AI and powerful data visualization to automate the prioritization process. By automatically and intelligently analyzing ESP events in real time, AiRP empowers you to boost operational efficiency, optimize lift, and minimize downtime by significantly cutting the response time to potentially harmful events. This solution harnessing Sensia’s full capabilities represents the first step towards lift autonomy.