The Quality Assessment of Seismic Reflection Survey Data Using Statistical Analysis: A Case Study of Fort Abbas Area, Cholistan Desert, Pakistan
In geophysical exploration surveys, the quality of acquired data holds significant importance before executing the data processing and interpretation phases. In this study, 2D seismic reflection survey data of Fort Abbas area, Cholistan Desert, Pakistan was taken as test case in order to assess its quality on statistical bases by using normalized root mean square error (NRMSE), Cronbach’s alpha test (α) and null hypothesis tests (t-test and F-test). The analysis challenged the quality of the acquired data and highlighted the significant errors in the acquired database. It is proven that the study area is plain, tectonically least affected and rich in oil and gas reserves. However, subsurface 3D modeling and contouring by using acquired database revealed high degrees of structural complexities and intense folding. The NRMSE had highest percentage of residuals between the estimated and predicted cases. The outcomes of hypothesis testing also proved the biasness and erraticness of the acquired database. Low estimated value of alpha (α) in Cronbach’s alpha test confirmed poor reliability of acquired database. A very low quality of acquired database needs excessive static correction or in some cases, reacquisition of data is also suggested which is most of the time not feasible on economic grounds. The outcomes of this study could be used to assess the quality of large databases and to further utilize as a guideline to establish database quality assessment models to make much more informed decisions in hydrocarbon exploration field.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3593172Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 252
 New York: McGraw-Hill, 1988.
 R. Y. Wang and D. M. Strong, “Beyond accuracy: what data quality means to data consumers”, Journal of Management Information Systems, vol. 12, no. 4, pp. 5-33, 1996
 M. A. Tate, “Web wisdom: how to evaluate and create information quality on the web”, CRC Press, 2009.
 P. Katerattanakul and K. Siau, “Measuring information quality of web sites: Development of an instrument”, Proceedings of the 20th International Conference on Information Systems, North Carolina: ACM, pp. 279–285, 1999.
 G. Shanks and B. Corbitt, “Understanding data quality: Social and cultural aspects”, Proceedings of the 10th Australasian Conference on Information Systems, Wellington: MCB University Press Ltd, pp. 785–797, 1999.
 T. W. Mcrae, “The impact of computers on accounting”, London: Wiley, 1964.
 T. C. Redman, “The impact of poor data quality on the typical enterprise”, Communications of the ACM, vol. 41, pp. 79-82, 1998
 G. K. Tayi and D. P. Ballou, “Examining data quality”, Communications of the ACM, vol. 41, pp. 54-57, 1998
 A. F. Karr, P. Ashish, Sanil and D. L. Banks, “Data quality: a statistical perspective”, National Institute of Statistical Sciences, Technical Report, vol. 150, pp. 1-9, 2005
 K. K. Talagapu, “2D and 3D land seismic data acquisition and seismic data processing”, Thesis, Department of Geophysics College of Science and Technology, Andhra University of Visakhaptanam, India, pp. 36-38, 2005.
 Eppelbaum, and B. Khesin, “Geophysical studies in Caucasus”, Springer-Verlag Berlin Heidelberg, pp. 39, 2012
 B. Chetia and P. K. Dimri, “Noise problem and quality data acquisition in Himalayan foot hill area”, GEOHORIZONS, vol. 23, 2005
 G. M. D. Sohail, “Structural & stratigraphic interpretation of migrated seismic sections of fortabbas area, Punjab platform, Pakistan”, In: 5th Saint Petersburg International Conference & Exhibition–Geosciences: Making the most of the Earth’s resources, Saint Peters-burg, Russia, April 2-5, 2012
 I. B. Qadri, “Petroleum geology of Pakistan”, Pakistan Petroleum Ltd, 1995
 N. Aadil and G. M. D. Sohail, “Stratigraphic correlation and isopach maps of Punjab platform in middle Indus Basin, Pakistan. AAPG, Search and Discovery Article-10364, Tulsa. 2011.
 E. S. Robinson and C. Coruh, “Basic exploration geophysics”, New York: Willey, 1988.
 R. Pontius, Thontteh, Olufunmilayo, Chen, and Hao, “Components of information for multiple resolution comparison between maps that share a real variable" Environmental Ecological Statistics, vol. 15, pp. 111–142, 2008.
 N. Ritter, “Understanding a widely misunderstood statistic: Cronbach's alpha”, Paper presented at South-Western Educational Research Association (SERA) Conference: New Orleans, LA, 2010.
 J. M. Cortina, “What is coefficient alpha? An examination of theory and applications”, Journal of Applied Psychology, vol. 78, pp. 98–104, 1993
 D. George and P. Mallery, “SPSS for Windows step by step: A simple guide and reference”, Boston: Allyn & Bacon, 2003.
 P. Kline, “The handbook of psychological testing”, London: Rout-ledge, 2000.
 R. F. DeVellis, “Scale development: Theory and applications”, Los Angeles: Sage, pp. 109–110, 2012.