...-scale pore structure characterization. It is urgent to establish a cross-scale pore structure evaluation method. Firstly, four types of pore structures had been identified by the analysis of macroscopic petrophysical properties and pore structure characteristics. Then, the pore structure logging...

... of elastic converge to the distribution of interest. The algorithm and petrophysical properties from seismic data, which allows requires a prior distribution of the model variables and a predicting the most likely model and its uncertainty. proposal distribution which is assumed to be symmetric (i.e...

... petrophysical properties. Sonic logs are affected by noise, (Yang and Torres-Verdín, 2015, Maalouf and Torres- environmental, and smoothing effects. However, rock Verdín, 2018) and its performance speed (Deng et al., 2019). physics models typically assume homogeneous spatial properties. Therefore, to obtain...

... characterization thin bedded reservoir annual meeting geostatistical seismic inversion petrophysical property upstream oil & gas amplitude map References References Gilks , W. R. , S. Richardson , and D. J. Spiegelhalter , 1996 , Markov Chain Monte Carlo in practice...

... ABSTRACT With the development of exploration and exploitation, the research on unconventional reservoirs especially the tight sandstone reservoir has drawn much attention. Due to the special petrophysical properties of tight sandstone with low porosity, low permeability and a complex pore...

... acquisition. The conventionaly used method is Bayesian, but it did not consider the classification error. Afterwards, Probabilistic Neural Networks (PNN) was proposed to predict petrophysical properties. Firstly, the principle of PNN and its network structure are briefly introduced. Then, PNN and Bayesian...

... ABSTRACT We applied Convolutional Neural Networks (CNNs) to obtain petrophysical properties in depth domain from pre-stack seismic data in time domain. We compared and contrasted two different workflows - (i) cascaded CNNs with two CNN architectures - ElasticNet to predict elastic properties...

... characterization moduli hydrocarbon prediction shear moduli petrophysical property dry bulk moduli annual meeting litho-facies class upstream oil & gas bulk moduli enhancement classification structural geology petro elastic modeling elastic property References References Avseth , P...

... to characterize the location of pay facies with a corresponding uncertainty. The second method, the multi-attribute rotation scheme, uses a global search algorithm to estimate an optimal transform between elastic attributes and a target petrophysical property. The target property used in this case study...

... a global search algorithm to estimate a customized transform for each geologic setting in order to predict petrophysical properties from elastic attributes. After the application of this technique, customized transforms were derived for the analyzed geological setting, to estimate porosity, brittleness...

... ABSTRACT The injection of COinto a saline aquifer induces changes in pore pressure and fluid saturation, which in turn induce variations in the petrophysical properties of the storage site. Thus, numerical modeling of COsequestration combining multi-phase fluid flow and wave propagation...

..., September 26, 2017 Start Time: 9:20 AM Location: 330A Presentation Type: ORAL petrophysical inversion rock physics model seismic data petrophysical property ensemble-based method exact zoeppritz equation optimization problem dataset artificial intelligence equation machine learning...

... building blocks of a rock mass that go beyond the elastic domain. These include the petrophysical properties from which components of the rock mass such as its pore space, frame and solid phase can be assembled from its constituent parts. In this study, we estimate the Biot-Willis coefficient from seismic...

... with hydrocarbons to understand the effect of uncertainties in saturation exponent on inverted petrophysical properties. Presentation Date: Wednesday, October 19, 2016 Start Time: 2:45:00 PM Location: 167 Presentation Type: ORAL exponent upstream oil & gas estimation inversion rock physics...

... petrophysical constraint integration workflow inversion geophysical inversion equation geologic modeling seg seg international exposition petrophysical property geophysical joint inversion single domain inversion machine learning constraint inverted model joint inversion reservoir...

... Summary Petrophysical properties are important characteristic parameters of reservoir quality. Rock physics models provide the link between elastic parameters and reservoir properties of interest. Pre-stack seismic inversion is an efficient approach to obtain these petrophysical parameters...

... information. 3D X-ray microtomographic imaging and visualization of core samples at the pore scale, and subsequent analysis of petrophysical properties, can give important insight into understanding the properties of reservoir (Knackstedt et al. 2009). Combining with quantitative identification technique, 3D...

... Summary The multi-attribute rotation scheme (MARS) is a methodology that uses a numerical solution to estimate a transform to estimate petrophysical properties from elastic attributes. This is achieved by estimating a new attribute in the direction of maximum change of a target property...

... Summary Petrophysical properties and ultrasonic P-and S- Wave attenuation measurements on 37 Deccan basalt cores recovered from Killari borehole (18o03’07’’N, 76°33’20’’E), western India, provide a unique and new reference data set for less studied Deccan volcanic province of India. The area...

... classification, since the variable that represents facies is categorical. Firstly, we define log-facies based on petrophysical properties, and subsequently compute the corresponding entropy. Then, we derive facies probability conditioned on different properties such as elastic data at different scale and seismic...