AI PREDICTIVE ANALYTICS
the reduction of base-load emissions while enhancing reliability
Digitalpetroleum predictive maintenance solutions predict the failure before it occus leading to improving safety and performance as well reducing maintenance cost and carbon footprint
Digitalpetroleum Equation :
10% increase in efficiency =
4% reduction in emissions
You’ve probably heard of significant targets being set by businesses and governments to cut carbon emissions, such as the UK’s goal of reaching net zero emissions by 2050, which includes its offshore oil and gas industry. Recently, we heard BP make an announcement about how committed they are to the same goal. As a result, they will concentrate on projects like tree planting, carbon capture technologies, and investments in renewable energy.
All industrial businesses, including oil and gas producers, power plants, refineries, and manufacturers, must reduce flaring and adhere to flaring regulations; doing so is absolutely crucial in the fight against climate change.
Digitalpetroleum predictive maintenance solutions predict the failure before it occus leading to improving safety and performance as well reducing maintenance cost and carbon footprint
Digitalpetroleum Equation : 10% increase in efficiency = 4% reduction in emissions
You’ve probably heard of significant targets being set by businesses and governments to cut carbon emissions, such as the UK’s goal of reaching net zero emissions by 2050, which includes its offshore oil and gas industry. Recently, we heard BP make an announcement about how committed they are to the same goal. As a result, they will concentrate on projects like tree planting, carbon capture technologies, and investments in renewable energy.
All industrial businesses, including oil and gas producers, power plants, refineries, and manufacturers, must reduce flaring and adhere to flaring regulations; doing so is absolutely crucial in the fight against climate change.
WHAT ARE THE RELATIONSHIPS BETWEEN RELIABILITY AND EMISSIONS?
Industrial manufacturing plants’ operators must burn off extra fuel when closing down the operation when equipment malfunctions or an unexpected occurrence occurs. Emissions rise as a direct result of this. Increasing reliability aids in reducing emissions by, among other things, preventing unplanned shutdowns by identifying issues before they happen. AI Predictive Analytics can spot problems before an unforeseen event, giving operators the chance to take action to stop it from happening or, if a shutdown is necessary for maintenance, to conduct it safely and without the need for flare-ups.
HOW DOES AI LOSE WEIGHT IN EMISSIONS?
As a machine that learns, artificial intelligence (AI) picks up on how a facility operates in a variety of working environments. With the help of technology, reliability may be increased and needless emissions into the environment can be stopped. It can also be used to determine what causes the most emissions under typical operating settings, providing crucial information about what can be done at the facility to reduce emissions under regular operating conditions. To help lower the base load of emissions while the plants are running at steady state, this can be used in manufacturing, power plants, oil and gas platforms, and refining facilities. AI can assist lessen the overall environmental effect of these facilities by lowering the base-load of emissions and enhancing asset reliability.
BETWEEN 50% AND 100% FLARING COMPLIANCE
One of our oil and gas clients approached us with an outdated, unreliable platform. It was continually tripping and had problems with the gas lift injection. Only 50% of the platform’s flaring goal was being met. Digital Petroleum was able to collaborate with this organization, utilizing our AI technology to offer crucial insights into the operation of the entire platform, pinpoint the source of integrity problems, and project the health of crucial assets. In addition to other production enhancements, the platform has begun to achieve 100% flaring compliance. case study here