In this paper, 2D seismic data and petrophysical logs of the Pabdeh Formation from four wells of the Mansuri oil field are utilized. ΔLog R method was used to generate a continuous TOC log from petrophysical data. The calculated TOC values by ΔLog R method, used for a multi-attribute seismic analysis. In this study, seismic inversion was performed based on neural networks algorithm and the resu...

The impact of topographic attributes on the uneven distribution of seismic response and associated devastation has frequently been observed and documented during seismic events, but has rarely been investigated at a regional scale. Existing numerical and experimental techniques applied to explore the impact of topographic attributes in the aggravation of seismic response, have been limited to i...

Hilbert–Huang transform (HHT) is a popular method to analyze nonlinear and non-stationary data. It has been widely used in geophysical prospecting. This paper analyzes the mode mixing problems of empirical mode decomposition (EMD) and introduces the noncontact measurement and detection of instantaneous seismic attributes using complementary ensemble empirical mode decomposition (CEEMD). Numeric...

We have developed an inversion formulation for velocity and attenuation structure using seismic attributes, including envelope amplitude, instantaneous frequency and arrival times of selected seismic phases. We refer to this approach as AFT inversion for amplitude, (instantaneous) frequency and time. Complex trace analysis is used to extract the different seismic attributes. The instantaneous f...

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

The variation of frequency content with time is an important seismo-stratigraphic indicator. This paper discusses the analysis of local frequency content of seismic reeection data with quadratic joint time-frequency representations. Signal adaptive quadratic time-frequency representations have considerably better time-frequency localization properties (resolution) than more standard approaches ...

Attributes remain to be of the utmost importance for the characterization of seismic data. Especially in the scale-range where tuning effects play, the understanding of what is happening, and the subsequent technology to extract the proper attributes from the huge seismic data-volumes remains current. This study starts with the analysis of a set of typical petrophysical log shapes. These log sh...

this paper describes a methodology for the integration of well logs and a series of grid-based attributes extracted from interpreted seismic data for prediction of porosity distributions. the studied area is located in the southwest iran. before finding a relationship between the target logs and predicted logs from 3d seismic data, we have interpreted the 3d seismic data in the studied area. al...

Seismic interpreters are often faced with the need to visualise and interpret a number of seismic attributes simultaneously. Side-by-side visualisation of the individual attributes and use of monochromatic colour bars are still widely used techniques, which nevertheless present a number of limitations. In this paper we discuss how colour can be used effectively in order to support simultaneous ...

faults/fractures detection is an essential step of the full field study in hydrocarbon reservoir. definition of exact location of these structural events is a critical step to optimize location of the development wells. despite of the fast development of the geo science technology and oil industry in recent years, detection of the small geological events such as faults and fractures in some of ...