Unlocking Operational Value from Oil and Gas Big Data
  • Case Study

Unlocking Operational Value from Oil and Gas Big Data

Origin is unlocking operational value by using C3 IoT to deploy and operate AI and IoT applications for oil wells

Project Challenge

Energy company Origin chose C3 IoT as its IoT platform across its entire business to deploy and operate AI and IoT applications. The company initially chose to develop two AI / machine learning applications targeted to achieve specific operational goals. The first is predictive maintenance for gas wells to improve operational efficiency and predict failures across 1,000 installed Progressive Cavity Pumps (PCP). The second is a forecasting application to predict the output of individual wells before drilling, optimize well placement, and identify parameters that maximize well output.

Results After 12 Weeks


Days simulated increase in run-life of wells


Accuracy in identifying low production wells before breaking ground (3x above baseline)


Identified Savings

Maia Schweizer
Chief Development Officer, Origin

My engineers were blown away by how easy C3 IoT made it seem, overcoming in a couple of weeks what had been taking months and months to scratch our heads over.”

Project Highlights


Data Silos


Distinct Source Systems


Gas Wells

Building Enterprise-wide Digital Transformation

Origin Energy maintains 2,000 gas wells, each equipped with more than 50 sensors providing real-time data of over 200 million reads per day. Unifying, analyzing, and deriving operational value from those data, in conjunction with petabytes of data in other siloed enterprise systems, is extremely difficult. To help solve this challenge, Origin selected the C3 IoT Platform on AWS.

Initially, C3 IoT and Origin spent 12 weeks developing two AI / machine learning applications to identify predictive maintenance opportunities and optimal equipment configuration options for operational and cost savings.

Together, C3 IoT and Origin built a unified cloud-based data image by integrating data from 12 disparate source systems, including hourly and daily sensors measurements, drilling logs, and geology estimates. Data complexity was overcome through the creation of a single, consistent data schema. Previously, each source system codified individual wells differently or used different terms to refer to similar entities. Additionally, Origin captured and codified insights from experienced development and sub-surface engineers to ensure optimal operational responses.

During the initial 12-week project the teams also converted data and insights into an enterprise application with integrated analytic modeling, application logic, and visualizations with integration to other enterprise systems. This application enables rapid development and deployment of insights to Origin operations teams in the field.

Since the end of the initial project, Origin has standardized on the C3 IoT Platform for AI and IoT application development, creating a team of data scientists, application engineers, and data architects to design, deploy, and operate AI and IoT applications across the company.

Solution Architecture

Origin Platform Architecture

Project Timeline

Origin Project Timeline

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