Data storage

Intelligent Wellhead Systems and ProFrac announced the first successful field tests utilizing MQTT (Message Queuing Telemetry Transport) protocol for the safe and efficient transfer and visualization of wellsite data during hydraulic fracturing operations.

UEM is an innovative approach that, for the first time, simultaneously integrates static and dynamic data in real time to represent subsurface conditions across multiple scales. This method improves the accuracy of reservoir models by consistently incorporating geologic uncertainties, making UEM vital to optimize reservoir recovery under uncertainty.

The Decommissioning Data Visibility Dashboard now includes field-specific information from 15 operators, compared with three when it was piloted by the North Sea Transition Authority (NSTA) and the Decommissioning and Repurposing Taskforce (DaRT) in November 2021.

By synergizing their capabilities, the partnership will grant Enertel direct access to a customer’s entitled TGS well data, including the utilization of TGS Application Programming Interfaces (APIs) embedded directly within QuantumCast, facilitating enhanced operational efficiency and decision-making.

The solution connects Shell’s exploration teams to relevant seismic data. With rapid access, Shell can now focus on informed decision-making in the dynamic energy landscape.

The newly added dataset allows real-time delivery of well economic statistics, providing users with valuable insights into oil and gas asset performance based on highly accurate well data and well-specific cost models.

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.

Integration of edge computers with real-time process control data is important for users who want to implement analysis and advanced data processing in the field. Traditionally, edge computers are a separate device that must be integrated with controllers and flow computers. Custom applications can be run on the edge computer that will allow for highly advanced real-time analysis of the field measurements, however building an edge environment and integrating data can be a non-trivial task. Similarly, selecting the right edge platform requires deep knowledge of security, application, and communication requirements. Sensia provides a new perspective for those wanting to implement edge computing with their real time control systems. We will discuss and show examples of what a highly integrated edge and control environment can look like and how it creates new options for how you manage and plan your automation projects.

As many in the subsurface and wells space are still working in data silos that limit the ability to implement digital solutions, there’s a weight of expectation surrounding the possibilities promised by the OSDU™ data platform. Now, as the Open Group’s collaboration of almost 150 industry members working to advance digital transformation in our industry approaches its launch, this webinar will separate OSDU-fact from fiction. Join us for ‘OSDU data platform: Why we built it’ and discover who it’s for, how it works, which technologies it enables, and the profound era of change the OSDU data platform will drive in our industry. Fully understand the opportunity the OSDU data platform offers your business and gain detailed insights into this ambitious industry endeavor to accelerate the digital future of oil and gas. Get ready for an engaging webinar featuring Johan Krebbers from Shell and Stephen Whitley from Schlumberger whose open source data ecosystem will form the foundation of the OSDU™ data platform.