Case study

CLIENT MC-02099

***

XXXXXis evolving
with the help of
machine intelligence

lean extraction

OIL & GAS EXTRACTION TECHNOLOGY - ENHANCING THE PROCESS
AI SOLUTIONS + ENGINEERING

THE PROBLEM

Similar to any other large enterprise, our client spent decades collecting large amounts of data about their people, processes, and customers within a fragmented suite of applications and data sources. As the organization grew and the need to leverage software became critical, our client found themselves taking an ad-hoc approach to technology, creating transactional applications for each business problem.

OUR SOLUTION

Our team came in and helped craft an API Strategy for the client, intended to help the organization balance the needs of the business and the needs of their employees. We held a two and a half day workshop with 30+ stakeholders across all functions and spent the next six weeks researching and recommending improvements to their software architecture. This culminated in a roadmap that has reduced our client’s operational costs by 22%.

PROBLEM ANALYSIS

PROBLEM ANALYSIS

CONSULTING

DESIGN

ENGINEERING

Discovery: Our engagement began with a deep, research-intensive phase into the client’s technology and application ecosystem. After hosting a workshop and several in-person interviews with stakeholders from both the business functions and the technology functions, we learned that well-cost estimation was a problem that had the opportunity solve several other horizontal pain points within the organization.

Hypergiant

[NOPE]

For the Definition phase, we worked with a team of drilling engineers and identified their pain points and inefficiencies for the well cost estimation process. Having found that the entire process was happening through Excel sheets, manual calculations, and PowerPoint presentations, we decided that a web application with access to every actual well cost could automate calculations with a higher degree of estimation accuracy and speed up the process for drilling engineers sitting in an office and company man working on a rig.

 

OUR SOLUTION & APPROACH

OUR SOLUTION & APPROACH

For the Delivery phase, we fused our client’s domain knowledge with Agile best practices and started to build out the web application in two-week sprints. As we were developing the solution, we kept close ties with drilling engineers and company men to ensure that the application was closely aligning estimates to actuals, and closing the delta in between. Ultimately, we created an application that allowed engineers to create a well plan based on historical best practices, refine time and cost, and monitor real-time data once the well was spud.

[ARCHIVED CONTENT]

Robert J. Shiller
Professor of Economics
Yale University