Permeability prediction from mercury injection capillary pressure curves by partial least squares regression method in tight sandstone reservoirs

Novel Method for Predicting Mercury Injection Capillary Pressure Curves of Tight Sandstone Reservoirs Using NMR T2 Distributions

“…In recent years, with the development of new exploration technologies, unconventional reservoirs have become the research focus in the field of petroleum exploration. − Conventional methods are no longer applicable to the evaluation of unconventional reservoirs, like sandstone reservoirs. Therefore, to improve the evaluation of unconventional reservoirs, it is necessary to quantitatively characterize their pore structures. − Because pore structure parameters are obtained using mercury injection capillary pressure (MICP) curves, based on which the type of reservoir can be determined, − the accurate determination of MICP curves is of great importance. − Currently, MICP curves are generally obtained through MICP experiments. However, in actual exploration, it is difficult to obtain a large number of core samples, which are then destroyed by mercury injection measurements. , Therefore, non-destructive methods by which to continuously obtain reservoir MICP curves for reservoir evaluation have become a key subject of oil and gas exploration. , …”

Permeability Prediction and Validation Using Static and Dynamic Data of Sandstone Reservoir in Weizhou Oilfield, Beibuwan Basin, China

“…Along with the progress in computer science, new technical means, such as NMR, neural network, and fuzzy logic, have been explored to estimate permeability [9][10][11][12][13][14][15][16][17][18][19][20][21][22] . More advanced algorithms have been adopted and/or developed along with the fast development of data science and computer technics in recent years [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] . However, systematic methods and more accurate prediction are still in pursuit as the subsurface reservoir is always a mystery.…”

Tide modeling using partial least squares regression

“…The result of the experiment showed that PLSR is a veritable alternative to the traditional chemical analytical methods such as Kjeldahl, Soxhlet, and chromatography methods for detecting chemical information of fish muscle. Liu et al (2018) used the PLSR to predict reservoir permeability. The parameters used for the modelling were extracted from the Mercury Injection Capillary Pressure (MICP) curves.…”