Traditionally the O&G companies are long-established users of technology. However, they have been slower than other sectors to embrace technology based on digital solutions. That may be about to change with the global pressure on Oil prices and climate change initiatives. As the industry seeks ways to return to profitability, digital is emerging as part of the answer, presenting the possibility of a radically more efficient new normal.

However, considering the volume of data and the working hours required to track & trace data related to historical, current & live streams, timely and accurately becomes a big challenge resulting in delays and an increased number of untapped data. Also, at times, with multiple data sources from multiple devices, it becomes critical to establish a relationship and thorough insight into the multiple data sets that can be critical in solving problems.

Some of the commonly used sources of data in different stages of the O&G Value Chain –

• Exploration and appraisal Stage Data, which feeds the exploration stack, is collected from surveys and exploration and appraisal wells, typically acquired in batches and processed together to derive insight into the reservoir.
• Concept selection, Definition & Execution Stage data, which support the project stack, are combinations of static and dynamic, or variable, data from reservoir models, field architecture, and equipment design information.
• Drilling & Production Stage Data, supporting the final two stacks, are streaming data derived from drilling operations and production facilities.

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All data sources have different products/devices/software models and solutions from various OEM’s, Partners, or In-house sources. Bringing different propriety formats of information into a common repository is a big challenge for Oil & Gas Companies.

CloudPrisma brings a unique solution for the O&G companies not only create unified report’s for each stage of the value chain but also its experts use algorithms to bring Insights into the processes at each stage along with intelligent alert systems for events by finding known/ unknown patterns and correlation ships between the different data sets.

CloudPrisma Consolidates all the data sources to create a robust and scalable architecture capable of ingesting, storing, and visualizing multiple petabytes of data. Its distributed data structures and streaming ingest capabilities provide storage and retrieval rates in the millions of records per second. So you can potentially combine a Mobile tracking system & an individual’s device live stream to spot and alert predictively, prescriptively, or descriptively based on actual needs.

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O&G Company Current or Likely Setup – The O&G companies or their partners use various proprietary, OEM specific, or third-party tools to extract data from Devices and external sources like surveys and exploration and appraisal wells batches, or Web searches, etc.

CloudPrisma Proposed Solution –

• ‍Data Ingestion - data here is prioritized and categorized, making data flow smoothly in further layers in a common format.
• ‍Data Query Layer - Active analytics processing with a primary focus to gather data value to be more useful to the next layer. Some of the Tools used are Distributed SQL Query for Big Data (e.g., Presto, MY SQL, Apache Spark, MS SQL DB2, etc.)
• ‍Data Visualization Layer - Presenting the data to make it “Valuable” and “Insightful.” Tools used Tableau, Cognos, Power BI, etc.

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Benefits to Oil & Gas companies –

• Consolidate data from different sources into a single repository for further analysis
• Possibility of capturing data from Live Streams like Sensors, IoT devices, CCTV, Drones, etc. for investigative or predictive alerts
• Speed of Mining the data for useful information considering the volume
• Establishing correlation between different data sets
• Establishing linkages and identifying people, events, and messages using non-text data like Video and Audio
• Establishing linkages and correlation with Historical data
• Alerts for decision making on a proactive basis for Event Alerts
• Faster and more flexible reporting as per the department
• ncreasing storing data quality – Archiving and Retrieval

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CloudPrisma Data Cleansing and Scrubbing derive meaningful insights into the untapped data.

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