Recording Parameter Selection and Optimization at the Start of a Seismic Survey

This work titled “Recording Parameter selection and optimization at the start of a seismic survey” This topic tries to compare several seismic parameter tests with aim to setup a procedure to validate these records for selection of an optimal recording parameter. Hence, pertains reviewing the basic steps of seismic survey design (time- and space sampling, offset and azimuth distribution, fold of coverage, sources and receiver arrays, source parameter) for both 2D and 3D. It analyzes the basic acquisition parameters such as; sweep frequency, sweep length, sweep number, vibrator number and amplitude spectrum for vibrosis records and charge weight, charge depth, hole number for the explosives records based on signal to noise ratio. Consequent, the dynamic and spectral behaviour of different noises affecting the records, amplitude spectrum and signal to noise ratio is reviewed in this scope of this thesis. Prior to every 2D and 3D seismic project several parameter tests is carried out and at the end the best is choose based on the geological objective. To achieve the above aim several Objectives comes into play which includes: Optimization of Sweep length, Frequency, Dynamite charge depth and Dynamite charge weight. Using VISTA data processing software made by Schlumberger company, the field records of these parameters is compared from different geophysical point of view like; Signal to Noise Ratio, Amplitude Spectral and Signal Energy and at the end an optimize recording procedure can be selected. My goal is to select the optimized parameters, which are suitable for the particular acquisition, by designing a data processing flow for critical noise attenuation and signal to noise ratio enhancement like (De-convolution, two-dimensional filtering, F-K spectral analysis). I used VISTA software for data processing and I have tried to attenuate the critical noises after which compared the various 2D and 3D parameter results on the bases of signal and noise ratio while putting cost allocated to survey into constrain.