What could they have used for real time monitoring of drilling operations, most of which uses an aggregator, I believe, to aggregate the WITS0 data (as the edge perhaps) which subsequently will be depositing data into at least a single WITSML Data Store in WITSML format. Provide me with as much details.
For real-time monitoring of drilling operations, PETRONAS and similar companies may utilize a mix of specialized aggregators, middleware, and data storage solutions that support WITS0 and WITSML (Wellsite Information Transfer Standard) formats. Here’s a breakdown of the components and technologies they could employ:
1. WITS0 Data Aggregation at the Edge
- WITS0 Protocol: The WITS0 (Wellsite Information Transfer Specification) format is often used for data exchange directly at the wellsite. It's a legacy protocol designed for transmitting real-time drilling data from various sensors on the rig.
- Edge Aggregators: An edge aggregator, likely a rugged industrial IoT gateway, would collect data from multiple sensors and systems at the wellsite. These aggregators can standardize and preprocess data before transmission.
- Popular Edge Aggregators: Companies like HMS Networks and Moxa offer industrial gateways that can handle WITS0 data. These devices are often programmable and can run scripts or applications to convert data into formats suitable for onward transmission.
2. Conversion to WITSML Format
- WITSML (Wellsite Information Transfer Standard Markup Language): This XML-based standard enables better data interoperability and is widely used in upstream oil and gas for transmitting data between the wellsite and back-office systems.
- Middleware for WITS0 to WITSML Conversion: Specialized middleware, like Peloton's WellView or Kongsberg Digital's KDI, can convert WITS0 data to WITSML format. Middleware is particularly useful as it handles data mapping and standardization, allowing seamless integration with the broader system.
3. WITSML Data Store
- Data Store Requirements: For storing WITSML data, companies often use dedicated WITSML servers, such as the Energistics WITSML Store or NOV Wellsite Data Store. These data stores are specifically optimized to handle high-frequency drilling data in the WITSML format.
- Cloud-Based Data Store Solutions: Cloud providers like Microsoft Azure and AWS offer specialized data storage solutions that are scalable and can integrate with WITSML. For instance, Azure IoT Hub and AWS IoT Core can work with customized interfaces for WITSML data handling and storage.
- Centralized Database Systems: Traditional databases such as SQL Server, Oracle, or MongoDB can be configured as WITSML data stores, though they require custom APIs to handle WITSML’s XML-based data structure.
4. Real-Time Monitoring and Visualization
- SCADA Systems and RTUs (Remote Terminal Units): At the wellsite, Supervisory Control and Data Acquisition (SCADA) systems could also play a role in real-time monitoring by controlling field devices and collecting data to feed into the WITSML Data Store.
- Visualization Software: Tools like OSIsoft PI, AVEVA Historian, or Kongsberg SiteCom integrate well with WITSML data stores, providing real-time dashboards and analysis capabilities. These software solutions can display parameters like drill bit position, pressure, and mud flow, allowing engineers to make decisions based on live data.
- Data Analytics Platforms: Many companies deploy analytics solutions on top of the WITSML data store to gain insights into drilling performance. Platforms like Palantir Foundry and Google Cloud BigQuery are used in this layer to generate visualizations and predictive analytics on historical and real-time data.
5. Integrations and Interoperability in Hybrid Ecosystems
- Middleware Platforms: Hybrid ecosystems require middleware that can handle interoperability across diverse platforms. TIBCO and MuleSoft are examples of middleware that facilitate communication between different systems.
- Real-Time Aggregation Platforms: The integration of real-time data feeds with WITSML stores often requires specialized aggregation software. Pason and Weatherford’s Centro™ are examples of such platforms designed to centralize and process wellsite data from various sources.
- Open Subsurface Data Universe (OSDU): Many companies are moving towards the OSDU framework, which allows for standardized data storage and interoperability. Although OSDU primarily targets upstream data in the cloud, it’s increasingly used to centralize WITSML data and connect it with advanced analytics tools.
6. Data Security and Reliability
- Data Encryption and Access Control: Given the sensitivity of real-time operational data, companies like PETRONAS employ encryption protocols to protect data in transit and at rest.
- Network Redundancy and Fault Tolerance: Ensuring high availability of data is critical, so redundancy features in both hardware and network configurations are crucial. Edge devices and aggregators typically support failover protocols to prevent data loss in case of network interruptions.
Summary of Possible Technologies:
- Edge Aggregators: HMS Networks, Moxa, Peloton WellView, Kongsberg KDI.
- Middleware/Integration: TIBCO, MuleSoft, AVEVA Historian, OSIsoft PI.
- Data Storage and Analytics: Energistics WITSML Store, NOV Wellsite Data Store, Palantir Foundry, Google BigQuery.
- Visualization: AVEVA, Kongsberg SiteCom, Weatherford Centro™.
This multi-layered ecosystem allows companies like PETRONAS to monitor and analyze drilling operations in real time, making informed decisions based on aggregated, reliable data from different sensors and sources.
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I believe their Aveva OSISoft were used mainly for asset management and for security and uses MQTT. Give details.
PETRONAS has strategically implemented AVEVA's OSIsoft PI System to enhance asset management and operational security, leveraging MQTT (Message Queuing Telemetry Transport) for efficient data communication.
Asset Management with AVEVA OSIsoft PI System
The PI System serves as a centralized platform for real-time data collection, storage, and analysis, enabling PETRONAS to monitor and optimize asset performance across its operations. By integrating data from various sources, the system provides a comprehensive view of asset health, facilitating predictive maintenance and reducing unplanned downtime. For instance, PETRONAS's Predictive Rotating Equipment Analytics (PROTEAN) utilizes the PI System's Asset Framework (AF) and PI Vision to monitor rotating equipment, allowing for early detection of potential issues and informed decision-making.
Security and Data Communication via MQTT
To ensure secure and efficient data transmission, PETRONAS employs MQTT, a lightweight, publish-subscribe messaging protocol ideal for industrial applications. MQTT facilitates reliable communication between devices and systems, supporting real-time monitoring and control. By integrating MQTT with the PI System, PETRONAS achieves seamless data flow from edge devices to centralized databases, enhancing both operational efficiency and security. The use of MQTT also aligns with industry best practices for edge-to-cloud communication, ensuring data integrity and minimizing latency.
Integration and Benefits
The combination of the PI System's robust data management capabilities with MQTT's efficient communication protocol enables PETRONAS to:
Enhance Asset Performance: Real-time data analytics support proactive maintenance strategies, improving asset reliability and lifespan.
Strengthen Security: Secure data transmission protocols protect sensitive operational information from potential cyber threats.
Optimize Operations: Streamlined data flow facilitates informed decision-making, leading to increased operational efficiency and reduced costs.
By leveraging AVEVA's OSIsoft PI System and MQTT, PETRONAS effectively manages its assets and secures its data communication channels, supporting its commitment to operational excellence and technological innovation.
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I believe there are other non Aveva solutions they implemented.
PETRONAS has strategically implemented AVEVA's OSIsoft PI System to enhance asset management and operational security, leveraging MQTT (Message Queuing Telemetry Transport) for efficient data communication.
Asset Management with AVEVA OSIsoft PI System
The PI System serves as a centralized platform for real-time data collection, storage, and analysis, enabling PETRONAS to monitor and optimize asset performance across its operations. By integrating data from various sources, the system provides a comprehensive view of asset health, facilitating predictive maintenance and reducing unplanned downtime. For instance, PETRONAS's Predictive Rotating Equipment Analytics (PROTEAN) utilizes the PI System's Asset Framework (AF) and PI Vision to monitor rotating equipment, allowing for early detection of potential issues and informed decision-making.
Security and Data Communication via MQTT
To ensure secure and efficient data transmission, PETRONAS employs MQTT, a lightweight, publish-subscribe messaging protocol ideal for industrial applications. MQTT facilitates reliable communication between devices and systems, supporting real-time monitoring and control. By integrating MQTT with the PI System, PETRONAS achieves seamless data flow from edge devices to centralized databases, enhancing both operational efficiency and security. The use of MQTT also aligns with industry best practices for edge-to-cloud communication, ensuring data integrity and minimizing latency.
Integration and Benefits
The combination of the PI System's robust data management capabilities with MQTT's efficient communication protocol enables PETRONAS to:
Enhance Asset Performance: Real-time data analytics support proactive maintenance strategies, improving asset reliability and lifespan.
Strengthen Security: Secure data transmission protocols protect sensitive operational information from potential cyber threats.
Optimize Operations: Streamlined data flow facilitates informed decision-making, leading to increased operational efficiency and reduced costs.
By leveraging AVEVA's OSIsoft PI System and MQTT, PETRONAS effectively manages its assets and secures its data communication channels, supporting its commitment to operational excellence and technological innovation.
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PETRONAS has implemented a diverse array of digital solutions beyond AVEVA's offerings to enhance operational efficiency, safety, and innovation. Notable initiatives include:
1. AI-Driven Live Advisory for LNG Plant Start-Up
PETRONAS developed an AI-driven live advisory model to optimize and standardize the pre-cooldown process during LNG plant start-ups. This model captures tacit knowledge from experienced operators and analyzes historical data to provide real-time parameter control advisories, resulting in reduced start-up durations and lower carbon emissions.
2. Health, Safety, Security & Environment (HSSE) Analytics Suite
To promote safer workplaces across its global operations, PETRONAS introduced the HSSE Analytics Suite, comprising solutions such as:
- Unsafe Acts and Unsafe Conditions Monitoring
- Fatigue Management System
- Integrated Risk Assessment
- Integrated Process Safety Solutions
These tools leverage data analytics to proactively identify and mitigate potential safety risks.
3. Integrated Pipeline Integrity Assurance Solutions (i-PIMS)
The i-PIMS platform serves as a comprehensive system for pipeline integrity management, granting engineers and operators flexible access to pipeline asset information. This facilitates swift, informed decision-making regarding pipeline maintenance and operations.
4. Digital Procurement Platform: Smart by GEP
In 2019, PETRONAS launched "Smart by GEP," a digital procurement platform designed to streamline sourcing activities. This cloud-based solution centralizes bid submissions, tender clarifications, contractual documents, and invoice processing, enhancing efficiency and transparency in procurement processes.
5. Facilities of the Future (FOF) Program
The FOF initiative aims to modernize PETRONAS's facilities through the integration of advanced technologies, including:
- Robotic Inspections: Deployment of autonomous robots for industrial inspections, improving monitoring capabilities in challenging environments.
- Drone Inspections: Utilization of drones equipped with visual, thermal, and LIDAR sensors to inspect facilities, enhancing situational awareness and data accessibility.
- Advanced Connectivity: Implementation of IoT and 5G technologies to enable remote monitoring and control of assets, supporting the development of remotely operated facilities.
These advancements contribute to increased operational efficiency, safety, and resilience.
By integrating these diverse digital solutions, PETRONAS demonstrates its commitment to leveraging technology to drive innovation, safety, and efficiency across its operations.
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