As a bridge between the reservoir performance and the geophysical well logging data,petrophysical measurements and its characterization are very important for the exploration and development of the unconventional reso...As a bridge between the reservoir performance and the geophysical well logging data,petrophysical measurements and its characterization are very important for the exploration and development of the unconventional resources in tight sandstone,carbonate and shale reservoirs.In this special issue of Energy Geoscience,“Recent advances in petrophysical and geophysical characterization of unconventional resources”,we organized and invited authors to present recent advances in various subjects addressing new petrophysical characterizations and geophysical models in unconventional reservoirs.展开更多
The low-field nuclear magnetic resonance(NMR)technique has been used to probe the pore size distribution and the fluid composition in geophysical prospecting and related fields.However,the speed and accuracy of the ex...The low-field nuclear magnetic resonance(NMR)technique has been used to probe the pore size distribution and the fluid composition in geophysical prospecting and related fields.However,the speed and accuracy of the existing numerical inversion methods are still challenging due to the ill-posed nature of the first kind Fredholm integral equation and the contamination of the noises.This paper proposes a novel inversion algorithmto accelerate the convergence and enhance the precision using empirical truncated singular value decompositions(TSVD)and the linearized Bregman iteration.The L1 penalty term is applied to construct the objective function,and then the linearized Bregman iteration is utilized to obtain fast convergence.To reduce the complexity of the computation,empirical TSVD is proposed to compress the kernel matrix and determine the appropriate truncated position.This novel inversion method is validated using numerical simulations.The results indicate that the proposed novel method is significantly efficient and can achieve quick and effective data solutions with low signal-to-noise ratios.展开更多
文摘As a bridge between the reservoir performance and the geophysical well logging data,petrophysical measurements and its characterization are very important for the exploration and development of the unconventional resources in tight sandstone,carbonate and shale reservoirs.In this special issue of Energy Geoscience,“Recent advances in petrophysical and geophysical characterization of unconventional resources”,we organized and invited authors to present recent advances in various subjects addressing new petrophysical characterizations and geophysical models in unconventional reservoirs.
基金support by the National Nature Science Foundation of China(42174142)CNPC Innovation Found(2021DQ02-0402)National Key Foundation for Exploring Scientific Instrument of China(2013YQ170463).
文摘The low-field nuclear magnetic resonance(NMR)technique has been used to probe the pore size distribution and the fluid composition in geophysical prospecting and related fields.However,the speed and accuracy of the existing numerical inversion methods are still challenging due to the ill-posed nature of the first kind Fredholm integral equation and the contamination of the noises.This paper proposes a novel inversion algorithmto accelerate the convergence and enhance the precision using empirical truncated singular value decompositions(TSVD)and the linearized Bregman iteration.The L1 penalty term is applied to construct the objective function,and then the linearized Bregman iteration is utilized to obtain fast convergence.To reduce the complexity of the computation,empirical TSVD is proposed to compress the kernel matrix and determine the appropriate truncated position.This novel inversion method is validated using numerical simulations.The results indicate that the proposed novel method is significantly efficient and can achieve quick and effective data solutions with low signal-to-noise ratios.
