- Software development
- ML & AI
- Data Analytics
- Platform Development
- Real Time Solution
- Big Data
Employing big data analytics algorithms for real-time data aggregation from IoT devices, SCADA systems, and drilling logs. Setting up live data integration into a client's platform, allowing for predictive modeling, optimization of drilling parameters, and geological information analysis. Leveraging preventive maintenance tools for better operational efficiency and cost management.
client
NDA
United States of America
130 employees
Our client is a prominent entity in the international oil and gas industry, specializing in exploration, drilling, and production. With operations spanning multiple continents, the company manages a diverse array of oil and gas assets, including offshore and onshore fields, production wells, and reservoirs.
request background
Energy Data Analytics Software to Boost Efficiency with Informed Decisions
The client approached Acropolium to adopt data analytics in oil and gas industry operations. We were to create a platform specifically designed for their oil and gas operations. This innovative platform had to integrate real-time data streams from a multitude of sources, including drilling rigs, production wells, and reservoir monitoring systems.
The platform's core objective was to enhance operational efficiency, optimize resource management, and improve decision-making processes with sophisticated oil and gas data analysis mechanisms. By collecting and exploring extensive amounts of data in real time, the platform would provide valuable insights into drilling performance, production rates, and reservoir behavior.
This would help predict potential issues, streamline operations, and make informed decisions that maximize output and minimize downtime.
Furthermore, we had to ensure the oil and gas analytics software could enhance collaboration across different operational units by providing a centralized, accessible repository of essential data.
challenge
A Scalable Platform with Comprehensive Oil and Gas Data Analysis
The foremost challenge of this solution revolved around the integration of predictive analytics in oil and gas industry activities to address the client's efficiency and cost management issues.
With fluctuating market conditions and stringent regulatory requirements, there is increasing pressure to reduce costs and optimize production. Another critical challenge is ensuring the reliability of vital equipment and minimizing unplanned downtime, as any interruptions can severely impact production schedules and profitability.
Since our client managed operations across diverse geographical locations, each of them presented unique complexities. This geographical spread necessitated a unified approach to data collection and analysis to ensure consistent performance of oil and gas analytics software across all sites.
Moreover, the client also dealt with the integration of disparate data sources, which include real-time data from drilling rigs, production wells, and reservoir monitoring systems. Integrating these varied data streams into a cohesive platform that can provide actionable insights was technically a complex task.
Data security and compliance with industry standards and regulations further added to the project's intricacy, as the platform must safeguard sensitive information while adhering to legal requirements. Lastly, we had to employ machine learning capabilities to not only process and analyze the data but also to predict potential issues.
Therefore, the oil and gas data analytics platform had to be robust, scalable, and capable of future improvement to keep up with the ever-changing industry demands.
goals
- Real-time data Integration and aggregation from diverse sources across global operations, including SCADA systems, IoT sensors, drilling logs, and historical production data.
- Implementation of ML-powered analytics and predictive modeling to optimize drilling parameters.
- Improving drilling efficiency by analyzing real-time geological and operational data.
- Ensuring scalability and flexibility for handling large volumes of data and accommodating future growth and technological advancements.
- Supporting the oil and gas data analysis software with tools for actionable insights and decision support to empower engineers, geologists, and managers with informed decisions.
solution
The Ultimate Tool for Real-Time Oil and Gas Data Analysis
.NET, ASP.NET Core, React.js, Redux, D3.js, PostgreSQL, Apache Hadoop, Apache HBase, AWS, EC2, S3, RDS, Redshift, Apache Kafka, Apache Spark, TensorFlow
19 months- 9 specialists
When developing this energy data analytics software, we used Apache Kafka and Apache Spark to integrate data from SCADA systems, IoT sensors, drilling logs, and production records in a live format. This integration was crucial for creating a unified data repository that could be leveraged for advanced analytics.
Using machine learning and TensorFlow for predictive modeling, our development team crafted data analysis features to optimize drilling parameters, thus enhancing operational efficiency. Additionally, we incorporated predictive maintenance features to help the client anticipate equipment failures and, consequently, reduce downtime and maintenance costs.
The solution's architecture was designed to be highly scalable, accommodating both the current operational demands and future expansion needs. For the ultimate accessibility, our developers chose the Redshift cloud infrastructure.
- We developed a scalable architecture to manage large data volumes and facilitate future system expansions, supporting long-term growth.
- Our developers ensured that the chosen architecture was compliant with the energy industry regulatory policies.
- Advanced analytics were applied to anticipate equipment failures, substantially reducing maintenance costs and downtime.
- Built following machine learning best practices, the oil & gas analytics software provided engineers and geologists with actionable insights, improving asset management and fostering informed decision-making.
- We ensured the solution was adaptable to evolving business needs and technological advancements, maintaining its relevance and effectiveness over time.
- Focused on convenient user flow, Acropolium developed an intuitive UI with React.js and D3.js to present data and insights effectively to users.
- Lastly, we conducted extensive testing to ensure reliability, accuracy, and performance, followed by iterative optimizations.
outcome
Optimized Workflows & Cost Savings through Advanced Analytics in Oil and Gas Operations
- The energy data analytics software led to a significant 15% increase in production efficiency, allowing for more effective resource utilization.
- Additionally, the client achieved a 20% reduction in equipment downtime, which contributed to smoother and more consistent operations.
- These improvements resulted in a substantial 30% cost savings in maintenance, underscoring the effectiveness of predictive analytics and preventative measures.
client feedback
We are beyond happy with the brand-new oil and gas data analysis software. Thanks to Acropolium's agile approach and attention to detail, we have gained operational insights to achieve new levels of efficiency and reliability. Now, we're operating even smoother and get the most out of data while saving costs. Saying that we're impressed would be an understatement!
