Case Study: Oil and Gas Machine Learning Solution Company achieves faster geodesic analytics with SoftServe

Oil and Gas Machine Learning Solution Company - Customer Case Study

Oil and Gas Machine Learning Solution Company needed a platform to process different types of input files, extract meaning from them, and deliver advanced analytics for geodesic problems in the oil and gas market. Lacking the specialized resources to build and scale it internally, the company partnered with SoftServe to create a solution that could support both core development and future burst capacity.

SoftServe led an initial machine learning workshop and then delivered the platform through a series of development sprints, using technologies such as GCP AutoML, CloudML, Kubeflow, Kubernetes, Vision API, NLP, deep neural networks, and GANs. The solution works with both structured and unstructured data, including seismic data, well logs, PDFs, and PPTs, to improve analysis, search, and navigation. SoftServe’s platform is automating manual geophysics work and helping speed up basin modeling and reporting by 10–30x, while the customer continues to expand the platform’s features with SoftServe.