more often clay matrix is the major factor to reduce the porosity and permeability in sandstone facies. consequently determination of clay minerals is of prime importance in reservoir quality assessment. the present study aims to identify four different types of clay mineral namely kaolinite, illite/cholorite, halloysite, and montmorilonite from petrophysical logs (pls) using cation exchange ca...

the direct way to access the petrophysical property of hydrocarbon reservoir is based on well data but due to its high cost, the seismic data has been used to obtain these parameters. for this purpose, many different methods are available and each has its own advantages and limitations. from these methods the seismic inversion is the best tool to study the reservoir characterization. the outcom...

Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...

Precise estimation of total organic carbon (TOC) is extremely important for the successful characterization an unconventional shale reservoir. Indirect traditional continuous TOC prediction methods from well-logs fail to provide accurate in complex and heterogeneous reservoirs. A workflow proposed predict a profile through various ensemble learning regression models Goldwyer formation Canning B...

Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due to the nonlinear and heterogeneous nature of the subsurface physical properties. In this context, present study proposes a generalized one class classification framework based on Support Vector Data Description (SVDD) ...

Multi-dimensional and multi-variable heterogeneous petrophysical reservoir models were constructed based on stochastic analysis of well logs. With a full wave form visco-elastic finite difference modeling software, a numerical experiment (cross borehole survey) was conducted to study the impact of Pand S-wave scattering, wave mode conversion, leaky mode mechanism and their integration on the ap...

Estimation of reservoir water saturation (Sw) is one of the main tasks in well logging. Many empirical equations are available, which are, more or less, based on Archie equation. The present study is an application of Radial Basis Function Neural Network (RBFNN) modeling for estimation of water saturation responses in a carbonate reservoir. Four conventional petrophysical logs (PLs) including D...

China has vast reserves of shale gas. Currently, shale gas is one of the focuses of the unconventional reservoir. Well logs play an import role in shale gas production, and it is the bridge connecting geology, geophysics and petroleum engineering. In the exploration stage, well logs are used to identify lithology, evaluate the parameters of mineral types and compositions, total organic carbon (...

Petrophysical properties of geothermal reservoir rocks are valuable information for many activities, including reservoir characterization, modelling, field test analysis and planning of exploitation techniques. Petrophysical data of rocks from geothermal reservoirs located in volcanic areas is in general very scarce. In particular, no petrophysical data of rocks from the Los Azufres geothermal ...