A New Method for Determining Tight Sandstone Permeability Based on the Characteristic Parameters of the NMR T2 Distribution
- Authors: Liu M.1,2, Xie R.1,2, Li C.3, Gao L.1,2
- 
							Affiliations: 
							- State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing)
- Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum (Beijing)
- PetroChina Research Institute of Petroleum Exploration and Development
 
- Issue: Vol 48, No 10 (2017)
- Pages: 1009-1029
- Section: Original Paper
- URL: https://journal-vniispk.ru/0937-9347/article/view/247871
- DOI: https://doi.org/10.1007/s00723-017-0924-7
- ID: 247871
Cite item
Abstract
This paper proposes a new method to determine the permeability of tight sandstone using characteristic parameters of the nuclear magnetic resonance (NMR) transverse relaxation time (T2) distribution. First, the Swanson parameters (Ts) and Capillary–Parachor parameters (Tcp) are calculated as the percolation characteristic parameters (Tc) of NMR T2 distribution. The logarithmic mean (Tlm), arithmetic mean (Tam), and harmonic mean (Thm) are calculated as the pore structure characteristic parameters (Tm) of NMR T2 distribution. Tx, the transverse relaxation time when the value of Y-axis is x% in the normalized accumulated T2 distribution curve accumulated from long relaxation time part to short relaxation time part, is selected as a characteristic parameter of pore size distribution. Second, different Tc, Tm, Tx, and NMR porosity (Tpor) values are selected to establish single-, double-, three-, and four- parameter models for estimating permeability. An analysis of the relationships between calculated permeabilities of different models and measured permeability in tight sandstone rocks indicated that the four-parameter model based on Tcp, T40, Tam, and Tpor was the best model. Moreover, this model was superior to the calibrated Timur model and the calibrated SDR model for calculating permeability in tight sandstone reservoirs.
About the authors
Mi Liu
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing); Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum (Beijing)
														Email: xieranhong@cup.edu.cn
				                					                																			                												                	China, 							Beijing, 102249; Beijing, 1002249						
Ranhong Xie
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing); Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum (Beijing)
							Author for correspondence.
							Email: xieranhong@cup.edu.cn
				                					                																			                												                	China, 							Beijing, 102249; Beijing, 1002249						
Changxi Li
PetroChina Research Institute of Petroleum Exploration and Development
														Email: xieranhong@cup.edu.cn
				                					                																			                												                	China, 							Beijing, 100083						
Lun Gao
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing); Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum (Beijing)
														Email: xieranhong@cup.edu.cn
				                					                																			                												                	China, 							Beijing, 102249; Beijing, 1002249						
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