Artificial intelligence

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.

Modern, open-architecture programming is unlocking the value of upstream data to deliver more efficient, and safer, workflows that meet the objective of improving return on investment.

Following the pandemic, companies are adjusting operating philosophies to focus more on production optimization and maximize existing investments. This growing need has fueled interest in the latest digital offerings, especially for remote operations, visualization, Edge automation and artificial intelligence.

Fifty-five FPSO units in the global fleet are reaching the end of their design life in the next five years, and a further five have life extension in place. With 19 more FPSOs currently being evaluated for life extension, what are the possible safety issues from corrosion and other structural integrity concerns?

Halliburton Company released DS365.ai cloud service to help customers accelerate their digital transformation with intelligent automation.

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.

The upstream oil and gas industry is investing heavily in search for new reserves or resource plays, new extraction technologies, and advancements in operational automation.

AVEVA, says 85% of industrial businesses plan to increase their investment in digital transformation over the next three years in order to tackle climate change, embrace automation and unlock the performance benefits of advanced technologies.

While digitalization has improved project economics and streamlined operations, it also has brought the need for AI-enabled solutions to support sustainable growth and provide security against cyberattacks.

Focused on driving sustainability in the region through digital transformation, the partnership will help enable AVEVA to establish their largest digital hub, with an R&D capability, in the Middle East, headquartered in Saudi Arabia.

Norway’s Petoro and Schlumberger recently collaborated to develop a well placement solution that automates ensemble-based reservoir modeling. Based on AI and automation, the solution helps Petoro to accelerate and improve offshore field development planning and well target selection.

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.

A collaborative cloud environment brings new insights to old concepts, captures expertise, and increases agility of data interpretation. The process can identify missed pay opportunities and trigger new exploration activity in mature areas.

The solution will provide energy operators with full interoperability, making their data accessible by any application within their E&P environment through the OSDU common data standard to enable easy sharing of information between teams.

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

Edge computing, AI and machine learning, and IIoT technology serve as key enablers to deliver safer and more environmentally sustainable operations by reducing human and carbon footprints, while increasing operational efficiency and productivity.

The combination of artificial intelligence, machine learning and the industrial internet of things is enabling remote operations and automation capabilities, leading to greater adoption and proliferation of intelligent oilfield operations.

Honeywell is launching its gas cloud imaging system in Europe to provide automated and continuous monitoring for leaks of dangerous and polluting gases such as methane at oil and gas, chemical and power generation facilities across the continent.