Artificial intelligence

Seismicity reviews are conducted by the Underground Injection Control Department for injection/disposal well permits in areas susceptible to earthquakes and in certain geologic zones.

Schlumberger announced it has expanded its global INNOVATION FACTORI network with the inauguration of a new center in Oslo, Norway.

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.

Schlumberger expanded its INNOVATION FACTORI network with the opening of a new center in Houston, Texas.

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.

The partnership will deliver unprecedented capabilities to petrotechnical domain experts in response to global demand for AI, bridging the gap between machine learning and domain expertise to enable better insights.

The system enables customer support to be delivered proactively by Wärtsilä Expertise Centres to ensure long-term accurate insight for their predictive maintenance strategies.

Achievements include new technologies in key basins; strengthening position in the South Atlantic; further growth onshore; enhancing imaging and efficiencies; and expanding the value chain through data and analytics.

Using historical and real-time data from entire systems, the BHC3 Reliability machine learning models identify anomalous conditions that lead to equipment failure and process upsets. Application alerts enable proactive action by operators to reduce downtime and lost revenue.

Weatherford’s Vero automated connection integrity system, which applies artificial intelligence to validate well integrity and minimize safety risks, has completed 15,000 tubular connections in 50 operations worldwide since its market debut.