Abstract One of the challenges in reservoir management is determining fracture density (FVDC) rock. Given high cost coring operations and image logs, ability to predict FVDC from various petrophysical input variables using a supervised learning basis calibrated standard well extremely useful. In this study, novel machine approach developed 12-input variable well-log based on feature selection. ...

A method for 3D modeling and interpretation of log properties from complex seismic attributes (obtained from 3D post stack seismic data) is developed by integrating Principal Component Analysis and Local Linear Modeling. Complex seismic attributes have non-linear relationships with petrophysical properties of rocks. These complicated relationships can be approximated using statistical methods. ...

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...

The petrophysical analysis of the early Eocene Sui Main Limestone (SML) has been conducted in Kharnhak-1 well for the prospect of the hydrocarbon exploration of the Khairpur-Jacobabad High, Middle Indus Basin, Pakistan. The petrophysical analysis of SML is carried out on the basis of well logs including gamma ray, spontaneous potential, resistivity, neutron, and density logs. These analyses lea...

In this study, we apply advanced numerical optimization techniques to extend the work of Imhof and Sharma (2005, 2006) to integrate geological and geophysical data and infer the sedimentary parameters that produce a match to seismic data. In particular, we seek to match not just event timing (phase) but also reflection strength (amplitude). This inverse problem of quantitatively matching presen...

The main purpose of this paper is to further clarify the complexity of the inversion method by using Niche Genetic Algorithms (NGA) to inverse the petrophysical property parameters. The improved BISQ model, presented in our earlier work, is chosen for the forward model in NGA. In this paper, the relationship between the sample number of the given wave response data and the inversion results, su...

The paper considers a range of tasks related to the processing and analysis petrophysical data, which are effectively solved by method group accounting arguments (MGUA). MGUA is machine learning that an alternative regression neural network modeling. was tested when working with information from database crystalline sedimentary rocks Voronezh Crystal Massif (VCM). basis technology formation com...