The aim of this study is to explore the usefulness of hidden Markov models for lithological classification of geophysical measurements in boreholes. Standard statistical methods like linear and quadratic discriminant or cluster analysis treat the individual measurement points of well logs as independent samples of the underlying distribution. With hidden Markov models (HMM) the knowledge of sta...

Lithofacies identification can provide qualitative information about rocks. It can also explain rock textures which are importantcomponents for hydrocarbon reservoir description Sarvak Formation is an important reservoir which is being studied in the Marun oilfield, in the Dezful embayment (Zagros basin). This study establishes quantitative relationships between digital well logs data androutin...

Information about reservoir properties usually comes from two sources: seismic data and well logs. The former provide an indirect, low resolution image of rock velocity and density. The latter provide direct, high resolution (but laterally sparse) sampling of these and other rock parameters. An important problem in reservoir characterization is how best to combine these data sets, allowing the ...

Abstract Drilling deviated wells has become customary in recent times. This work condenses various highly and horizontal well log interpretation techniques supported by field examples. Compared to that vertical wells, is complex because the readings are affected not only host bed but also adjacent beds additional wellbore-related issues. However, understanding potential pitfalls combining infor...

One issue commonly found when working with well log data is the irregular abundance/availability of different recorded parameters. This especially applicable datasets collected in campaigns that may span through years, even decades, or companies. Artificial Intelligence be useful to fill gaps original database, resulting a more complete, standardised one. In this work we present workflow can fo...