Data & Analytics/Automation Case Study

Cloud Computing and RPA Drive Advanced Multivariate Analysis and BHP Calculations for Energy Firm

Client

Leading energy firm specialized in producing clean-burning natural gas. They operate primarily in East Texas, managing over 200,000 net acres. The company has achieved significant growth, increasing its gross production to over 1.3 Bcf/d. They are known for their commitment to sustainability, including efforts to progressively reduce methane emissions by 10% every year.

CLIENT PROFILE
EMPLOYEES: 130+
INDUSTRY: Energy
FOUNDED: 2015

Project Scope

Manual processes were not cutting it

The company sought to modernize and automate its Bottomhole Flowing Pressure (BHP) calculations—previously managed through on-premises Python scripts and databases—by moving to a reliable, scalable, cloud-based data foundation on Microsoft Azure.

To address this case, Smartbridge successfully stepped in and delivered an end-to-end process transformation, reducing manual oversight, increasing reliability, and accelerating insights for critical operational decisions for both new and existing wells.

Microsoft Data & AI Solutions Partner
Microsoft Digital & App Innovation Solutions Partner

Objectives

Improve and automate calculations and analytics

The client came to us with a few objectives which included:

  • Enhance Data Reliability & Accuracy

    Eliminate error-prone, on-premises workflows by establishing a robust, cloud-based ETL pipeline for BHP calculations.

  • Automate Multivariate Analysis

    Support complex input variables—fluid volumes and pressures, equipment pressures, choke diameters, lateral lengths, among other complex variables that factored in—without burdening teams with repetitive manual tasks.

  • Enable Real-Time Insights

    Provide near real-time reporting and analytics to drive swift operational and strategic decisions.

  • Future-Proof Scalability

    Prepare company data infrastructure to handle growing data volumes and evolving analysis requirements.

Solution Methodology

Implementing a solution with a suite of Microsoft products

multivariant analysis
multivariant analysis

Both diagrams share common processes. In a nutshell, both pipelines achieve to:

  • Analyze existing on-prem processes, data sources, and integration points to design a cohesive cloud migration roadmap.
  • Build a unified, secure platform that orchestrates data ingestion, transformation, and storage for BHP calculations and beyond.
  • Establish cloud-native pipelines that fetch data from ERPs and databases, run Python-based calculations, and seamlessly write results back to the cloud-based data foundation.
  • Implement monitoring and alerting mechanisms to ensure accuracy, system performance, and ongoing improvements.

Success Through a Modernized Implementation

The client is receiving immense business value from the Smartbridge solution

  • Reduced Operational Overhead

    Streamlined workflows minimized manual intervention by 40%, allowing teams to focus on higher-value projects.

  • Improved Decision-Making

    Accurate, near real-time results enable faster response to operational challenges and investment opportunities.

  • Lower Error Rates & Risks

    Automated processing reduced manual errors by 80%, safeguarding data integrity and boosting confidence in BHP calculations for both incoming and 250+ existing wells.

  • Scalable Growth Platform

    A modern, flexible foundation that supports expanding data demands and additional use cases as company needs evolve.

Keep Reading: Azure Pilot Program for a National Natural Gas Company

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