Abstract
The Lower Indus Basin in Pakistan has its significance and has proven oil and gas potential in Pakistan. To explore its hidden realities on basis of advance technologies of exploration geophysics, the present study has carried out to open new horizons in the field of exploration geophysics. It combines study of stratigraphical and structural trends of Lower Indus basin for each formation on regional scales including evaluation of resource potential based on seismic and well log data. The seismic interpretation models are based on iso velocity depth contour method and seismic inversion models are based on sparse spike models. The seismic inversion data approach was used first time on Indus basin to understand trapping mechanism of hydrocarbons with performing reservoir characterization. Tomography imaging has reveal earth properties and the focal mechanism inversion covered the geological formations. The data integration techniques such as co-kriging or neural networks were used for single and multiobjective function optimization for formations evaluation of entire area. The seismic amplitude and inversion anomaly, potentially indicative of porous reservoirs, are located in each formation. The results of cretaceous sand’s reserve for lower Indus basin prove compressionional tectonics with many anticlinal and faults. The study is an important support for prospect evaluation and hydrocarbon reserve estimations and was necessary to delineate unexplored parts.
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References
Ahmad N, Fink P, Sturrock S, Mahmood T, Ibrahim M (2004) Sequence Stratigraphy as Predictive Tool in Lower Goru Fairway, Lower and Middle Indus Platform, Pakistan. PAPG, ATC
AJW D (1988) Bayesian estimation in seismic inversion-Part II: Principles:Geophysic. Prospecting. 36:899–918
Avseth P, Mukerji T, Mavko G (2005) Quantitative seismic interpretation: Cambridge University Press
Badley ME (1985) Practical seismic interpretation, 1st edn. International Human Resources Development Corporation, Boston
Beasley D, Bull DR (1993) An Overview of Genetic Algorithms : Part 1, Fundamentals 1 Introduction 2 Basic Principles. Building, pages 1–16
Bornard R, Allo F, Coléou T, Freudenreich Y, Caldwell DH, Hamman JG( 2005) Petrophysical Seismic Inversion to determine more accurate and precise reservoir properties, SPE 94144, SPE Europec, Madrid, 13-16 June
Buland A, Omre H (2003) Bayesian linearized AVO inversion. Geophysics 68:185–198
Buland A, Landrø M, Andersen M (1996) AVO inversion of Troll field data. Geophysics 61:1589–1602
Buland A, kolbjørnsen O, Hauge R, Skjaeveland O, Duffaut K (2008) Bayesian lithology and fluid prediction from seismic prestack data. Geophysics 73(3):C13–C21
Dahl T, Ursin B (1991) Parameter estimation in a one dimensional anelastic medium: J. Geophys Res 96:20217–20233
Deb K (2001) Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England
Dobrin MB, Savit CH (1988) Introduction to geophysical prospecting, 4th edn. McGraw-Hill, NewYork
Dong (2020) Quantitative4 Investigation of tomographic effects in abnormal regions of Complex structures. https://doi.org/10.1016/j.eng2020.06.021
Doyen PM (1988) Porosity from seismic data: A geostatistical approach. Geophysics 53(10):1263–1275
Doyen P (2007) Seismic reservoir characterization: EAGE
Duijiandam AJW (1988a) Bayesian estimation in seismic inversion: Part I: Principles:Geophysic. Prospecting. 36:878–898
Duijiandam AJW (1988b) Bayesian estimation in seismic inversion-Part II: Principles:Geophysic. Prospecting 36:899–918
Eide AL, More H, Ursin B (2002) Prediction of reservoir variables based on seismic and well observations. J Am Sssn 97(457):18–28
Eidsvik J, Avesth P, Omre H, Mukerji T, Mavko G (2004) Stochastic reservoir characterization using prestack seismic data. Geophysics 69:978–993
Fatti JL, Smith GC, Vail PG et al (1994) Detection of gas in sandstone reservoirs using AVO analysis: a 3-D seismic case story using the Geostack technique. Geophysics 59:1362–1376
Gardner GHF, Gardner LW, Gregory AR (1974) Formation velocity and density—the diagnostic basis for stratigraphic traps. Geophysics 39:770–780
Gen M, Cheng R (1997) Genetic algorithms and engineering design. Wiley, NewYork
Gouveia WP, Scales JA (1997) Resolution of seismic wave form inversion:Bayes versus Occam. Inverse Problems 13:323–349
Gouveia WP, Scales JA (1998) Bayesian seismic waveform Inversion: Parameter estimation and Uncertainity anaylsis. J Geophys Res 103:2759–2779
Gunning J, Glinsky M (2007) Detection of Reservoir quality using Bayesian Seismic Inversion. Geophysics 72(3):R37–R49
Haupt RL, Haupt SE, Wiley AJ (2004) Algorithms Practical Genetic Algorithms. John Wiley & Sons, Inc., Hoboken, New Jersey
He FB, You J, Chen KY (2011) Gas sand distribution prediction by elastic inversion based on rock physics modelling and analysis. Appl Geophys 8(3):197–205
Hubral P, Krey T (1980) Wavefront curvatures in 3-D inhomogenous media with curved interfaces. Geophysics 45:905–913
Improta (2017) Reservoir structure and waste water-induced seismicity at the Val d’ Agri oil field (Italy) shown by three-dimensional VP and Vp/Vs local earth quake Tomography. J Geophys Res Solid Earth 122(11p):9050–9082. https://doi.org/10.1002/2017JB014725
Inam A, Clift PD, Giosan L, Tabrez AR, Tahir M, Rabbani MM, Danish M (2007) The geographic, geological and oceanographic setting of the Indus river. Large rivers: geomorphology and management:333–345
Jadoon M, Saeed Khan (1992) PhD Thesis Department of Earth Science and Engineering Imperial College London UK
Kadri IB (1995) Petroleum Geology of Pakistan, Pakistan Petroleum Limited, Ferozsons (pvt) limited 275p.
Kalkomey CT (1997) Potential risks when using seismic attributes as predictors of reservoir properties. Lead Edge 16(3):247–251
Kazmi AH, Jan MQ (1997) Geology and Tectonics of Pakistan. Graphic Publishers
Kazmi AH, Rana RA (1982) Tectonics map of Pakistan. Geological Survey of Pakistan
Khan N (2016) Formations evaluation for Lower Indus Basin using seismic Inversions, China Uniersity of Geosciences (Wuhan), PhD Thesis
Krygowski, D. 2003, A. Guide to petrophysical Interpretation, Austin Texas USA.
Lafet Y, Duboz P, Deschizeaux B, Lefeuvre F, Hubans C (2005) 4D Stratigraphic inversions of the Girassol field-towards a more quantitative approach, 67th EAGE Conference and Technical Exhibition. Madrid Expanded Abstract C018
Landrø M (2010) 3D Seismic. In: Bjørlykke K (ed) and Petroleum Geoscience: From Sedimentary Environments to rock Physics Springer Science
Larsen AL, Ulvmoen M, Omre H, Buland A (2006) Baysian lithology/fluid prediction and simulation on the basis of a Markov-Chain prior model. Geophysics 71(5):R69–R78
Lehujeur (2018) Reservoir imaging using ambient noise correlation from a dense seismic network. JGR Solid Earth 123(8):6671–6686. https://doi.org/10.1029/2018JB015440
Li Y, Oldenburg DW (2000) 3-D inversion of induced polarization data. Geophysics 65(6):1931–1945
Lin F-C (2009) Eikonal tomography:surface wave tomography by phase front tracking across a regional broad band seismic array. 177:1091–1110
Lőrtzer GJM, Berkhout AJ (1993) Lineralized AVO inversion of multi component seismic data. In: Castagna J, Backus M (eds) Offset-dependant reflectivity-Theory and Practice of AVO Analaysis. Socity of Exploration. Geophysics, pp 317–322
Ma (2018) Discrimination of seismic sources in an underground mine using full wave inversion. Int Rock Mech Min Sci (106):213–222
Ma (2019) Focal mechanism of mining induced seismicity in fault zones: a case study of Yongshaba Mine in China. Rock Mech Rock Eng 50:3341–3352. https://doi.org/10.1007/s00603-019-01761-4
Man KF, Tang KS, Kwong S (1996) Genetic Algorithms : Concepts and Applications. 43(5)
Martinsen RS (2003) Depositional remnants: Examples from the Western Interior Cretaceous basin of North America: AAPG Bull, v. 87(12): p. 1883-1909.
Menke W (1989) Geophysical Data Analysis: Discrete Inverse Theory, 1st edn. Academic Press, San Diego, p 289
Mosegaard K (1998) Resolution analysis of general inverse problems through inverse Monte Carlo sampling. Inverse problems 14:405–426
Mosegaard K, Tarantola A (1995) Monte Carlo sampling of sloutions to inverse problems. J Geophys Res 100:12431–12447
Mukerji T, Jørstad A, Avseth P, Mavko G, Granli JR (2001) Mapping lithofacies and pore-fliud probabilities in a North Sea reservoir. Geophysics 66:988–1001
Ødegaard E, Avseth P (2004) Well log and seismic data analysis using rock physics templates. First Break 23:37–43
Quan, Youli, Harris JM (2008) “Stochastic seismic inversion using both waveform and travel time data and its application to time-lapse monitoring. “2008 SEG Annual Meeting Socity of Exploration Geophysicst
Raza HA, Ahmed R (1990) Hydrocarbon Potential of Pakistan. Journal of Canada- Pakistan Cooperation 4(1):9–27
Sarkar S, Gouveia W, Johnston D, (2003) on the inversion of time-lapse data: 73rd Annual International Meeting, SEG, Expanded Abstracts, 1489–1492
Scales JA, Tenerio L (2001) Prior information and uncertainity in iverse problems. J Geophys Res 66:389–397
Sen MK, Stoffa PL (1996) Bayesian Inference. Gibbs sampler and uncertainity estimation in geophysical inversion:Geophysical Prospecting 44:313–350
Shuaib SM (1982) Geology and hydrocarbon potential of offshore Indus basin. AAPG Bull 66:940–946
Siddiqui, N. K., (2009), Sedimentary basin architecture of Pakistan (Chapter 19.A) and Summarized stratigraphy of Pakistan (Chapter 19.B) in Proterozoic and Phanerozoic integrated stratigraphy (South-East Asia), India, Pakistan, Bangladesh, Myanmar and Sri Lanka, Part-1: Text; and Par-II: Charts. ONGC Bulletin, Vol.44 (2): (eds. D. S. N. Raju and Ravi Misra), p. 401-474
Smith RB, Bruhn RL (1984) Intraplate Extensional Tectonics of the Eastern Basin Range- Inferences on Structural Style from Seismic Reflection. Data, Regional Tectonics and thermal-mechanical Models of Brittle-ductile Deformation. J Geophys Res 89(B7):5733–5762
Smith GC, Gildow PM (1987) Weighted stacking for rock property estimation and detection of Gas. Geophys Prospect 35:993–1014
Spkies K, Mukerji T, Dvorkin J, Mavko G (2008) Probabilistic seismic inversion based on rock physics models. Geophysics 72(5):R87–R97
Tarantola A (1987) Inverse problem theory. Elsevier Science Publ. Co., Inc
Tarantola A (2005) Inverse problem theory:SIAM
Tarantola A, Valette B (1982) Inverse problems:Quest for in-formations. J Geophys 50:159–170
Ulrych TJ, Sacchi MD (2001) A Bayes tour of inversion: A tutorial. Geophysics 66:55–69
Xu S, Payne MA (2009) Modeling elastic properties in carbonate rocks. Lead Edge 28:66–74
Yang Y (2007) ambient noise rayleigh wave tomography across europe. Geophys J Int 168(1):259–274
Yang Y (2008) The structure of the crust and upper most mantle beneath the western US revealed by ambient noise and earth quake tomography, J.Geophysic. Res.,
Acknowledgements
This study was supported by two Grants (I) Govt. of Pakistan; Ministry of Petroleum and Natural Resources with Grant No. DB-1(2)/2013-RL (Vol-III).and (II) Govt. of China, Ministry of Education, with Grant No. 2012GXZC30. We appreciated helpful comments from anonymous reviewer.
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The all part of this research paper belongs to last version four of my PhD Thesis under supervision of Prof. Peimin Zhu in 2016.
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Responsible Editor: Longjun Dong
This paper was selected from the 3rd Conference of the Arabian Journal of Geosciences (CAJG), Tunisia 2020
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Khan, N., Zhu, P. & Konaté, A.A. Integrated geophysical study of Lower Indus basin at regional scale. Arab J Geosci 14, 1214 (2021). https://doi.org/10.1007/s12517-021-07568-4
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DOI: https://doi.org/10.1007/s12517-021-07568-4