1024-024 Well Log DIgitization

The California State Department of Conservation is seeking a contractor to digitize raster geophysical well-logs for carbon sequestration research through an Invitation for Bid (IFB) numbered 1024-024. The primary scope involves converting tagged image file format (TIFF) well-logs into Log ASCII Standard (LAS) files, focusing on the Central Valley regions of San Joaquin and Sacramento Valleys. The project supports the California Geological Survey's Geologic Carbon Sequestration Group in identifying and assessing subsurface geological reservoirs, in compliance with California state legislation SB 905. Contractors must digitize a minimum of 5,000 geophysical well-log curves during the contract period from April 7, 2025, through April 6, 2028. Key procurement dates include a bid submission deadline of March 28, 2025, at 5:00 pm, a public bid opening on April 1, 2025, at 2:00 pm, and a proposed award date of April 2, 2025. Minimum qualifications require bidders to demonstrate capability in converting raster well logs to LAS files, providing comprehensive well header information, performing quality checks, and offering dashboard access to data products.

The procurement includes several preference programs designed to support diverse businesses, notably a 5% preference for small businesses and a Disabled Veteran Business Enterprise (DVBE) incentive program. The maximum contract value is set at $100,000, with a rate of not more than $20 per geophysical well-log curve. These provisions aim to create opportunities for smaller and veteran-owned businesses while maintaining competitive pricing for the digitization services. The project's ultimate goal is to support California's strategic efforts in assessing potential carbon sequestration sites, with the digitized well logs providing critical data for geological mapping, reservoir quality estimation, and identifying potential geologic storage locations. Bidders will likely be evaluated on their technical capabilities, experience with well-log digitization, data quality assurance processes, and their ability to meet the specified project requirements within the prescribed timeline and budget constraints.