Case Study: Searcher Seismic achieves instant, on-demand seismic data access and ML-ready analytics with Cloudera

Searcher Seismic Utilizing Seismic Data for the Oil and Gas Industry Provides a Map to De-risk Exploration

Searcher Seismic, an independent multi-client geophysical data company, faced a growing data-management problem: a 20PB library scattered across SANs, tapes and drives made discovery, auditing and delivery slow and error-prone. Machine-learning pilots spent 80–90% of effort just decoding legacy flat files, and client data delivery took days to weeks and required 3–4 full-time employees to manage.

Searcher partnered with Cloudera to build Saismic™, a cloud‑enabled, distributed big‑data platform that standardizes seismic data, supports Spark/HBase and hybrid cloud deployment, and streams data on demand. The platform reduced delivery to “3–4 clicks,” gives clients immediate access on contract signing, cut staffing for delivery to a one‑person task, reduced manual errors with verifiable audit trails, and unlocked scalable ML workflows and a new data-as-a-service revenue stream.

Searcher Seismic

Joshua Thorp

VP, Data & Analytics