Petrostructural analysis of 31 mantle xenoliths from three kimberlitic pipes intruding the Neoproterozoic Brasilia belt close to southwestern margin São Francisco craton (SFC) reveals microstructures and compositions similar those observed in cratonic roots worldwide. (1) The spinel-peridotites sampling upper section lithospheric have dominantly refractory modal mineral compositions, whereas ga...

The development of effective strategies for hydrocarbon extraction through unconventional shales requires a comprehensive understanding of shale petrophysical properties – specifically the variability of fabric, composition, matrix, porosity, permeability, and thermal maturity/organic content [1-5]. Unconventional resource extraction from shale can involve the injection of carbon dioxide (CO2) ...

Abstract—Well logging records can help to answer many questions from a wide range of special interested information and basic petrophysical properties to formation evaluation of oil and gas reservoirs. The accurate calculations of porosity in carbonate reservoirs are the most challenging aspects of the well logging analysis. Many equations have been developed over the years based on known physi...

In the domain of oil exploration, geostatistical methods aim at simulating petrophysical properties in a 3D grid model of reservoir. Generally, only a small amount of cells are populated with properties. Roughly speaking, the question is: which properties to give to cell c, knowing the properties of n cells at a given distance from c? Obviously, the population of the whole reservoir must be com...

Advanced production methods utilize complex fluid iteration mechanisms to provide benefits in their implementation. However, modeling these effects with efficiency or accuracy is always a challenge. Machine Learning (ML) applications, which are fundamentally data-driven, can play crucial role this context. Therefore, study, we applied Hybrid (HML) solution predict petrophysical behaviors during...

The conventional approach in reservoir characterization uses an extrapolation of petrophysical properties calculated from well logs determining the entire field volume. This technique fails to acknowledge/ factor heterogeneity a reservoir, and consequently leads errors capacity quantification. research work employs deterministic seismic inversion each sand. First, sand was identified intervals ...

Machine learning has a significant advantage for many difficulties in the oil and gas industry, especially when it comes to resolving complex challenges reservoir characterization. Permeability is one of most difficult petrophysical parameters predict using conventional logging techniques. Clarifications work flow methodology are presented alongside comprehensive models this study. The purpose ...

Abstract. The quantitative integration of geophysical measurements with data and information from other disciplines is becoming increasingly important in answering the challenges undercover imaging modelling complex areas. We propose a review different techniques for utilisation structural, petrophysical, geological single physics joint inversion as implemented Tomofast-x open-source platform. ...

Conventional oil reserves in Colombia are depleted. The country´s reserve-to-production ratio is estimated as 5 years. Therefore, the search for new resources and their conversion into proven essential. In this case, production of unconventional reservoirs an option Colombia. This work evaluates technical economic feasibility a Tight Oil source rock reservoir, considering parameters such fractu...