Portable dense geophone array for shallow and very shallow 3D seismic reflection surveying: Part 1—Data acquisition, quality control, and processing

Geophysics ◽  
2004 ◽  
Vol 69 (6) ◽  
pp. 1443-1455 ◽  
Author(s):  
Ran Bachrach ◽  
Tapan Mukerji
Keyword(s):  
Quality Control ◽  
Cost Effectiveness ◽  
Data Quality ◽  
Seismic Reflection ◽  
Processing Parameters ◽  
3D Seismic ◽  
Coherent Noise ◽  
Event Identification ◽  
Efficient Processing ◽  
The Cost

A strategy is presented for 3D seismic reflection imaging of shallow and very shallow targets, utilizing a portable dense geophone array. A dense 2D geophone array identifies faint shallow reflections and suppresses coherent noise. Fixing the receiver locations enables the design of quality control (QC) procedures that improve event identification. The number of shots, shot locations, and their effect on target illumination can be evaluated with various QC tools during acquisition to improve overall data quality. At the same time the portability of the array increases the cost effectiveness. Radially projected supergathers enable the choice of efficient processing parameters. With sufficiently high fold and 3D frequency–wavenumber filtering, the dense geophone array is shown to image reflectors from 8 to 50 ms, along with a dominant 20‐ms water table reflection.

Supplier Quality Assurance Systems: A Study in the Nuclear Industry

1988 ◽  
Vol 202 (4) ◽  
pp. 205-212 ◽  
Author(s):  
A J Singer ◽  
G F Churchill ◽  
B G Dale
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Cost Effectiveness ◽  
High Risk ◽  
Professional Competence ◽  
Quality System ◽  
Nuclear Industry ◽  
The Cost ◽  
The Impact ◽  
Stringent Quality

This paper reports the results of a study which investigated the impact of quality assurance on 13 suppliers to the nuclear industry. The purpose of the study was to determine the benefits and problems of applying quality assurance in the supply of high risk plant items and material for nuclear installations. The paper discusses the problems facing the industry including: multiple audits and inspections, the irritation with having to contend with two quality system standards (namely BS 5750 and BS 5882) and the cost effectiveness of the more stringent quality system and quality control surveillance requirements imposed by the nuclear industry. It is also pointed out that companies supplying non-nuclear industrial customers were dissatisfied with the qualifications, experience and professional competence of some auditors and many inspectors.

scholarly journals 3-D Land Seismic Acquisition in Saudi Arabia

GeoArabia ◽  
1996 ◽  
Vol 1 (4) ◽  
pp. 511-528
Author(s):  
Richard Hastings-James ◽  
Kamal M. Al-Yahya
Keyword(s):  
Saudi Arabia ◽  
Cost Effectiveness ◽  
Data Quality ◽  
Seismic Data ◽  
Sampling Strategy ◽  
Source Point ◽  
Universal Approach ◽  
Saudi Aramco ◽  
Seismic Acquisition ◽  
The Cost

ABSTRACT Between 1991 and 1996, Saudi Aramco has acquired more than 8,500 square kilometers of 3-D seismic data in Saudi Arabia. During this time, a universal approach to 3-D acquisition has been developed. The resulting acquisition schemes use a dense source point grid with a low sweep effort per source point, and a high number of recorded channels distributed over a large surface aperture. This sampling strategy results in high fold data. Cost-effectiveness is achieved by ensuring that the source and receiver effort are balanced. Comparisons have shown that increases in surface aperture and fold, cross-line fold in particular, improve the data quality significantly at a marginal increase in cost. The cost per unit of data is made significantly lower even if the cost per unit of time may increase.

scholarly journals THE CASE STUDY OF CONVOLUTION NEURAL NETWORKS APPLICATION FOR THE PROCESSING OF REAL 3D SEISMIC DATA

2019 ◽  
Vol 2 (3) ◽  
pp. 147-153
Author(s):  
Georgy Loginov ◽  
Anton Duchkov ◽  
Dmitry Litvichenko ◽  
Sergey Alyamkin
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Quality Control ◽  
Data Quality ◽  
Seismic Data ◽  
3D Seismic ◽  
Data Quality Control ◽  
Static Corrections ◽  
3D Seismic Data

The paper considers the use of a convolution neural network for detecting first arrivals for a real set of 3D seismic data with more than 4.5 million traces. Detection of the first breaks for each trace is carried out independently. The error between the original and the predicted first breaks is no more than 3 samples for 95% of the data. Quality control is performed by calculating static corrections and seismic stacks, which showed the effectiveness of the proposed approach.

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