Random and Coherence Noise Attenuation Complete Sequence for 2-D Land Seismic Data Acquired in Iraq

TL;DR

This paper presents a comprehensive noise attenuation method for 2-D land seismic data, combining multiple domain-based filtering techniques to improve signal clarity and geological feature detection in seismic interpretation.

Contribution

It introduces a novel five-step noise attenuation process using domain transformations and filters specifically designed for land seismic data with coherent and random noise.

Findings

Enhanced seismic image quality after noise attenuation

Improved detection of geological structures and features

Effective separation of coherent and random noise in seismic data

Abstract

Noises are common events in seismic reflection data that have very striking features in seismograms, affecting seismic data processing and interpretation. Noise attenuation is an essential phase in seismic processing data, usually resulting in seismic interpretation improvement that enhances the signal to noise ratio. Groundroll presence is the major fashion of significant noise in the land seismic survey. It is a type of coherent noise present in seismograms that appears as linear events, in most cases overlapping the reflections and probably making it challenging to recognize. There are several domains used in noise attenuation, Domain transformations is a complex algorithms standard tool used commonly used during processing of seismic data and imaging processing, So a large number methods have been developed to attenuate these types of noise. In the time-offset domain, the noise wave such as Groundroll and random noises, overlap each other over time; a different domain makes it easier to successfully isolate coherent, random noise and reflection events. Five steps are introduced to attenuate coherent and random noise, these steps are FDNAT, AGORA, RADMX, SCFIL, DDMED as well as Time-Variant band-pass Filter. The results indicate that the different domains can actually reveal features and geological structures that have been masked by the noises present in current data. because encourage significant improvements in the final image quality in 2-D seismic section, so, these filtering techniques possibly give advantage to the interpreter in particularly in structural and stratigraphic interpretation during the work of interpretation, especially in the exploration and characterizing possible traps.