top of page

Energy

AI Case Studies

Australian Renewable Energy Agency

Renewable Energy

Australian Renewable Energy Agency improved accuracy of solar energy predictions by 31% using machine learning methods based on a distributed network

Strategy

Siemens Gamesa Renewable Energy

Renewable Energy

Siemens Gamesa Renewable Energy reduces inspection time of wind turbine blades by 75% by using non-destructive testing

Strategy

Stanford University

Renewable Energy

Stanford University scientists identify 50% more solar installations than any previous survey with the use of deep learning

R And D

DeepMind

Renewable Energy

DeepMind increases value of wind power by 20% by predicting supply 36 hours in advance

Operations

Rice University

Renewable Energy

Rice University researchers improve on the state-of-the-art for wind turbine icing detection with a CNN

Operations

Saxnas hydro plant

Renewable Energy

Saxnas Hydroplant increased profits by 35% after using machine vision to digitise a legacy pumping plant

Operations

Loka

Renewable Energy

Loka enhances HR responsiveness to employee questions and improves awareness of policies and benefits through internal chatbots

Human Resources

Enel

Renewable Energy

Enel Green Power North America and Raptor Maps streamline solar facilities’ faults detection using machine learning

EDF Energy

Other

EDF Energy matches physical components of nuclear power stations with digital instruction manuals using deep learning

Operations

EDF Energy

Other

EDF Energy wishes to monitor power station conditions in real time and predict maintenance requirements using machine learning

Operations

Schneider Electric

Other

Schneider Electric expands its potential candidate database to 275m and identifies candidates matching jobs using machine learning

Human Resources

Shell

Oil And Gas

Shell saves over a million dollars annually by doing inventory analysis 32 times faster using machine learning

Supply Chain

Orbital Insight

Oil And Gas

Orbital Insight identifies 4x more crude oil tanks in China than the official number by analysing satellite imagery

Strategy

ExxonMobil

Oil And Gas

ExxonMobil plans to automate hydrocarbon discovery by developing deepwater exploration robots in partnership with MIT

R And D

BP

Oil And Gas

BP reduces methane emissions by 74% and increases production volume by 20% by optimising oilfield well valve functions with AI modelling

Operations

Bonanza Creek Energy

Oil And Gas

Bonanza Creek Energy avoids production shutdown and fines by anticipating when certain emissions are going to occur using a machine learning system

Operations

Origin

Oil And Gas

Origin achieved 80% accuracy in identifying low production wells and $50M in savings using machine learning applications from C3 IoT

Operations

Repsol

Oil And Gas

Repsol plans partnership with Google Cloud to use machine learning to optimise crude oil refinery management

Operations

Shell

Oil And Gas

Shell pilots system that detects people smoking at gas stations with the use of image recognition and machine learning

Operations

Sinopec

Oil And Gas

Sinopec builds smart factories and supporting platform for manufacturing based on AI

Operations

Shell

Oil And Gas

Shell plans to automate information extraction from internal documents to collate answers to operational problems using Maana's Knowledge Platform

Information Technology

Gazprom

Oil And Gas

Gazprom Neft to optimise drilling and well completion with the use of artificial intelligence

Shell

Oil And Gas

Shell predicts maintenance requirements for its equipment with the use of machine learning

bottom of page