OCP Ecuador Uses Prescriptive Maintenance to Accurately Identify Asset Failure and Reduce Maintenance Costs
OCP Ecuador is a midstream oil and gas company that transports, stores and ships crude oil. With assets installed in remote locations along its 485-kilometer pipeline, the company needed a maintenance solution that would enable them to predict and prevent equipment failures before they occurred. With Aspen Mtell® prescriptive maintenance, the company can now continuously monitor its critical assets for impending failure, using both process and mechanical data.
MOL Group Drives Digitalization in Partnership with AspenTech
In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive efficiencies across plant operations and increase sustainability. This made a major contribution to operators in accelerating digitalization plans. Aspen Mtell has become an integral part of MOL’s strategic digitalization plan, which includes initiatives to extract increased value from its assets and increase overall plant availability to 96+ percent.
Aspen Mtell® Machine Learning Finds Cause of Compressor Failures at LNG Facility
Read how this LNG facility used Aspen Mtell prescriptive maintenance to provide up to 61 days advance notice of catastrophic compressor failures, preventing an economic loss of more than $40M USD per occurrence. Quick to implement and readily scalable, the solution provided key insights into the root cause of the failures.
Saras拥有地中海最复杂的炼油厂，每天的炼油产能为30万桶。作为数字化项目的一部分，他们正在评估如何提高资本和资产密集型炼油厂运营的可靠性。他们选择了AspenMtell，基于一个竞争性试点项目选择过程，最初的重点集中在关键炼油设备上，比如大型压缩机和水泵。 Aspen Mtell通过挖掘历史和实时操作以及维护数据来发现资产性能下降和故障发生之前的精确特征，预测未来故障并制定详细的行动以缓解或解决问题。
Page 1 of 2