Bitstrapped has spent 3 years working with a leading oil and gas consultancy to develop (to-date) a dozen cloud-based predictive maintenance tools and applications for many leading oil and gas operators including the supermajors. The predictive maintenance solutions enable customers to:
Predictive maintenance in the energy industry aims to solve a billion dollar problem — Asset Integrity. The energy industry is seeing rapidly aging infrastructure. More than half of the pipelines in the U.S. are older than 50 years and in the past 5 years alone, there have been 3,300 leaks reported. This includes the largest in U.S. history with eighty deaths and close to 400 injuries. The challenge for asset integrity teams within oil and gas companies is that they are limited by legacy technology, computing resources, and antiquated methodologies including manual observation and recurring scheduled maintenance which inefficiently over allocates resources to maintain systems.
In partnership with a leading oil and gas consultancy Bitstrapped determined that to develop predictive maintenance for oil and gas applications, an organization would need:
Bitstrapped led the development of multiple software applications that met these requirements for a variety of clients including architecting and operationalizing the machine learning models. The end-to-end solution employed:
The cloud-based software solutions that made use of machine learning, provided the organizations with a variety of impressive results. The organizations remain customers today.