2015 GSA Annual Meeting in Baltimore, Maryland, USA (1-4 November 2015)

Paper No. 151-10
Presentation Time: 4:05 PM


COTTER, Z.M.K., HAAGSMA, A., CONNER, A., LARSEN, G.E., BURCHWELL, A., JIMENEZ, M., GROVE, B., GERST, J. and GUPTA, N., Exploration & Production Services, Battelle Memorial Institute, 505 King Avenue, Columbus, OH 43201, cotter@battelle.org

Ohio’s economy is dependent on coal fired power plants which is one of the largest contributors of CO2 emissions. High coal demand creates a need to analyze critical geologic data for assessment of carbon dioxide (CO2) storage feasibility to meet government regulations. The research will identify, characterize, and assess geologic formations of interest which include Cambrian aged Rose Run sandstone, Copper Ridge dolomite (“B” and lower), and the Conasauga Group as potential CO2 reservoirs. The following workflow was applied: 1) QA/QC wireline data and formation tops, 2) Define and create zones, 3) Calculate thicknesses, average porosities, and statistics, 4) Generate a series of regional maps and cross sections, 5) Identify and interpret geologic trends, and 6) Correlate petrophysical results to whole core data and compare it to known regional geologic understanding. The Rose Run sandstone has several sandstone lenses with moderate porosity that extends through eastern Ohio. A facies change in northeastern Ohio in the Copper Ridge “B” dolomite presents a relatively thick sandy interval with potential porosity. The lower Copper Ridge exhibits traceable zones of vugular development which correlates with known structure. The Conasauga has a facies change in central Ohio where a thick sandstone was deposited which has high porosity and permeability. These preliminary results provide the building blocks to assess the CO2 storage capacity in Ohio. This methodology can be applied to future characterization efforts in order to effectively target potential CO2 reservoirs using available basic wireline logs. This work was supported by Ohio coal Development Office Grant OOE-CDO-D-13-22 and U.S DOE Award DE-FE0023330.