Santos uses PMQ for the forecast of a hardware failure and increase in production

Business need: The company stored large volumes of data in the isolated storages. For business users, manual consolidation of information through tables was bulky and introduced errors. Moreover, processing of unstructured data manually for most of users were it is bulky and labor-consuming. As a result, Santos could not provide the growing demand for gas and some of the contract commitments. The company could not foretell when the equipment for oil and gas production demands repair that sometimes led to long delays of repair and recession of production. To increase the competitive advantages, to maximize production and to maintain the contract commitments before clients, Santos needed to transform approach to management and data analysis. Thus, the company looked for the reliable IT supplier who could create the powerful analytical platform.

Solution: The company implemented the solution on the basis of forecast modeling (PMQ). Using the data arriving from the equipment in fields, the company can predict a hardware failure from 87% accuracy in 48 hours. Using this time as the buffer, the company can begin preventive repair what the equipment would continue to work and provide permanent production level.