CLIENT MC-12099 Chesapeake Energy - Hypergiant

Solution Study

DECLASSIFIED OMI DOSSIER MC-12099

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Full-Service Well
Site Management Saves
$30M per Year.

WellTender Addresses All On-Site Challenges

AI-driven Work Management
MI SOLUTIONS +
DESIGN + ENGINEERING

THE PROBLEM

Calendar-based maintenance of resource sites is extremely inefficient and requires service personnel to travel to and from work sites irrespective of actual need. To address this problem, internal teams at Chesapeake Energy created WellTender to manage work tickets at sites on an exception basis. When the time came to evolve the application, expand functionality, and introduce artificial intelligence into the solution, Chesapeake Energy partnered with Hypergiant. Providing visibility into team-based work and providing performance transparency were two unexpected benefits for Chesapeake and those were components of Hypergiant’s Intelligent Incentives program.

OUR SOLUTION

Streamlining the work item clearing process was the primary challenge and facilitating such a change led Hypergiant to a number of other capabilities that enhance the WellTender application. Ultimately, the application increases efficiency drastically, saving Chesapeake Energy tens of thousands of dollars every day across their multiple regions. The algorithmic work system matches workers to the appropriate tasks based on their aptitudes, location, and other relevant factors. The system also lays the foundation for intelligent routing and telemetry while driving behavioral change around prioritization. Finally, the reimagined application reduces manual paperwork scanning and distribution significantly for all personnel operating at well sites. Chesapeake Energy saves over $17k per day across multiple geographical locations.
ACCESS GRANTED**

PROBLEM ANALYSIS

CONSULTING

DESIGN

ENGINEERING

Working towards a methodology for wellsite maintenance that was exception-based was a challenging reorientation of existing practices and WellTender was intended to usher forth a contemporary approach. After several initial iterations created by the internal team, developers at Chesapeake Energy recognized that any significant evolution of the software would require partnership with a world-class strategy, design, and development team. The internal team was aware of the potential of artificial intelligence but actual development was outside their skillset. Hypergiant provided its signature blend of expert design, holistic strategic directionality, and top-notch development resources throughout the lifecycle of the redesigned, reimagined product.

Behavior Change through Incentivization

MI SOLUTIONS +
DESIGN + ENGINEERING

In an effort to usher workers towards greater efficiency, Hypergiant introduced Intelligent Incentives. This evolved version of gamification provides employees and management transparent records of site efforts, skills identification, and drives behavioral change in work item management. The program included dozens of different achievement badges acquired through efforts that mitigate problems or save Chesapeake money. Underlying game mechanics were defined and leaderboards were leveraged to encourage friendly competition between employees.

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SOLUTION APPROACH

CONSULTING

DESIGN

ENGINEERING

Chesapeake Energy developed the original iteration of WellTender from a user-centric perspective, so partnership with Hypergiant was natural and the relationship extremely productive. Collaboration across more than a year was intense and fruitful allowing for creation of a truly future-forward manifestation of the original promise of WellTender. Across vastly expanded capabilities, WellTender 2.0 incorporates multiple forms of artificial intelligence. Unsupervised learning is employed in analyzing maintenance and historical production. Computer vision is utilized for well information gathering and transmission, eliminating the need for every site employee to spend hours each week traveling to a central office location, scanning, and submitting documents to a central repository. Natural Language Processing (NLP) and sentiment analysis are leveraged to review user comments for efficacy which is coupled with user-driven supervised learning. Algorithmic work item matching ensures that the most appropriate employee addresses site challenges according to their own aptitudes, location, and past performance. Most significantly, AI-driven routing and telemetry ensures that site issues are addressed via the most efficient travel pathway. Finally, the Intelligent Incentives program tied together all of the disparate capabilities into a format that was intuitive, graceful, transparent and user-focused.

“Technological change is never an isolated phenomenon. This revolution takes place inside a complex ecosystem which comprises business, governmental and societal dimensions. To make a country fit for the new type of innovation-driven competition, the whole ecosystem has to be considered.”

- KLAUS SCHWAB / FOUNDER & EXECUTIVE CHAIRMAN WORLD ECONOMIC FORUM