Top 10 US Oil & Gas Exploration and Production Company
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Birst
Tech Stack
- Data Warehousing
- Real-time Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Oil & Gas
Applicable Functions
- Business Operation
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Data Science Services
- System Integration
About The Customer
The Company is a petroleum, natural gas, and natural gas liquids exploration and production company. It has successfully drilled for oil and natural gas across the US and operates about 70% of its more than 15,800 gross productive wells. The company has grown through 35 acquisitions and needed to integrate its acquired systems and applications to more efficiently manage its operations.
The Challenge
The Company was unable to react quickly to changes in production rates, labor and down times. It relied on disjointed data warehouses to manage multi- million dollar well sites. After 35 acquisitions, the company needed to integrate its acquired systems and applications to more efficiently manage its operations. The objectives were to provide analytics on well management such as production rates, downtimes, labor productivity, forecast vs. actual, etc. and to fully integrate data across all acquisitions. The technical challenges included multiple disparate acquired systems and applications from 35 acquisitions and 7 disjointed data warehouses.
The Solution
The company implemented Birst to provide a single view into dollars in/out of well sites and end user interactivity for oil site managers, executive team and site owners. The solution provided near real-time analytics on oil and gas production across 15,000+ wells. This allowed the company to manage expenses and optimize production forecasts and profit margins across well sites, impacting millions of dollars each year. The solution was chosen for its time to value and very low IT resource requirement.
Operational Impact
Quantitative Benefit
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