UNSPSC 81103202: Research and development drilling & well technology

R&D is directed towards drilling technology, drilling fluid engineering and cementation and cementing materials technologists and scientists provide solutions to the down hole drilling problems, improving design of the systems and thereby contributing towards the development of excellent, efficient and cost effective operations etc.

UNSPSC 81103202 Research and development drilling & well technology, a Commodity code, does not align with the recent state and local procurement activity available in the source. The most recent opportunities tagged with this code involve educational services and instructional materials unrelated to drilling technology, research wells, or subsurface exploration—the activities typically solicited under the drilling and well technology classification.

The source documents sixteen recent state and local solicitations nominally associated with this code, posted between May 2026 and October 2026, spanning school districts and education agencies in Florida, Texas, Georgia, Oregon, California, Illinois, Michigan, and Washington. However, none of these opportunities describe drilling, well technology, geotechnical exploration, or research-and-development work in subsurface resource characterization. Instead, the opportunities cover educational dropout reengagement services (Hillsborough County Public Schools), literacy intervention training (Hillsborough County), staff development and professional learning (Katy ISD, multiple iterations), special education diagnostics and evaluation (Katy ISD, DeKalb County Schools, Douglas County Schools), open educational resources content and curriculum development (Texas Education Agency), K-12 assessment platforms (Northside ISD, Texas Education Agency), enrichment programming (Pinellas County Schools, Stockton USD), and workforce pipeline development (Workforce Solutions Borderplex, Texas Education Agency). The code shows no relevant recent activity in state or local procurement markets and appears to be a tagging error across the entire dataset.