Abstract
The complex pore network in gas shale may result in the inaccurate evaluation of petro-physical properties with the different models. Therefore, in the current research, we proposed a new methodology of ∆ log R separation method that can be used to distinguish the mature source zone and reservoir zone. When this technique is used together with Thomas Bowman cross-plot, it signifies shaly resource in the study area. The different mature source rock units were recognized based on resistivity log and sonic log by new techniques of models. In the study area, the Goru Formation is marked as source rock, and it is separated by two intervals B and C which shows signs of maturity or reservoir shale. The potential and probable maturity of Lower Goru Formation shale is identified by using the ΔLogR and also the cross-plot techniques of modified ΔLogR. The result shows that the B-interval shale indicates high probable maturity as compared to the C-interval shale. Petro-elastic analysis shows good potential shale gas zone in the B-interval shale as compared to C-interval shale based on other parameters high Young’s modulus, low Poisson’s ratio, high brittleness index, and high total organic carbon content. To check the result acquired from these models, TOC and R˳ were calculated by using well log data. The result obtained from these models indicated that the source rocks encountered in the studied wells having TOC exceeded the kerogen type II for the generation of hydrocarbon and R˳ calculated shows that the source is compensated wet gas in the area. Additional confirmation takes place based on petro-physical properties, i.e., brittleness, so the high brittleness indicates the high rate of hydraulic fracturation.
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All data included in this study are available upon request by contact with the corresponding author. Data is transparent and available to first author.
References
Ahmad N, Mateen J, Shehzad CH, Mehmood N, Arif F (2012) Shale gas potential of lower Cretaceous sembar formation in Middle and Lower Indus Basin Pakistan. Pak J Hydrocarbon Res 22:51–62
Al-Fahmi M, Michele LC, Cole JC (2014) Modeling of the Dammam outcrop fractures: case study for fracture development in salt-cored structures. GeoArabia 19:49–80
Berger A, Gier S, Krois P (2009) Porosity-preserving chlorite cements in shallow-marine volcaniclastic sandstones evidence from Cretaceous sandstones of the Sawan gas field Pakistan. AAPG Bull 93:595–615
Blackwell DD, Richards MC (2004) Geochemical map of North America 2004. AAG, Tulsa
Bowman T (2010) Direct method for determining organic shale potential from porosity and resistivity logs to identify possible resource plays. In: AAPG annual convention and exhibition New Orleans, April 2010
Caineng Z, Dong D, Wang Y, Li X, **liang H, Wang S, Guan Q (2015) Shale gas in China: characteristics, challenges and prospects (I). Pet Explor Dev 42:753–767
Dong D, Wang Y, Li X, Zou C, Guan Q, Zhang C, Bai W (2016) Breakthrough and prospect of shale gas exploration and development in China. Nat Gas Indust B 3:12–26
Hood RW Jr (1975) The construction and preliminary validation of a measure of reported mystical experience. J Sci Study Relig 14:29–41
Jarvie DM (2012) Shale resource systems for oil and gas: Part 2. Shale-oil resource systems. In: Breyer JA (ed) Shale reservoirs-Giant resources for the 21st century, vol 97. AAPG Memoir, pp 89–119
Jarvie DM, Hill JR, Ruble TE, Pollastro RM (2007) Unconventional shale-gas systems: the Mississippian Barnett shale of north-central Texas as one model for thermogenic shale-gas assessment. AAPG Bull 91:475–499
Jarzyna JA, Krakowska PI, Puskarczyk E, Wawrzyniak-Guz K, Zych M (2019) Total organic carbon from well logging-statistical approach, Polish shale gas formation case study. Int J Oil Gas Coal Technol 22:140–162
Khalid P, Ehsan MI, Akram S, Din ZU, Ghazi S (2018) Integrated reservoir characterization and petrophysical analysis of cretaceous sands in Lower Indus Basin, Pakistan. J Geol Soc India 92:465–470
Khalid P, Akhtar S, Khurram S (2020) Reservoir characterization and multiscale heterogeneity analysis of Cretaceous reservoir in Punjab platform of Middle Indus Basin, Pakistan. Arab J Sci Eng 45:1–20
Kingston DR, Dishroon CP, Williams PA (1983) Global basin classification system. AAPG Bull 67:2175–2193
Krois P, Mahmood T, Milan G (1998) Miano field, Pakistan, a case history of model driven exploration: proceedings of the Pakistan petroleum convention. In: Pakistan Association of Petroleum Geologists, Islamabad, pp 111–131
Lecompte B, Hursan G (2010) Quantifying source rock maturity from logs: how to get more than TOC from Delta Log R. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers
Li Y, Hou G, Hari KR, Neng Y, Lei G, Tang Y, Zheng C (2018) The model of fracture development in the faulted folds: the role of folding and faulting. Mar Pet Geol 89:243–251
Machel HG, Krouse HR, Sassen R (1995) Products and distinguishing criteria of bacterial and thermochemical sulfate reduction. Appl Geochem 10:373–389
Mahesar AA, Shar AM, Ali M, Tunio AH, Uqailli MA, Mohanty US, Keshavarz A (2020) Morphological and petro physical estimation of Eocene tight carbonate formation cracking by cryogenic liquid nitrogen; a case study of Lower Indus basin, Pakistan. J Pet Sci Eng 192:107318
Majid K, Shahid N, Munawar S, Muhammad H (2016) Interpreting seismic profiles in terms of structure and stratigraphy, an example from Lower Indus Basin Pakistan. Univ J Geosci 4:62–71
Mavko G, Mukerj T, Dvorkin J (2009) The rock physics handbook: tools for seismic analysis of porous media. Cambridge University Press, Cambridge, pp 34–77
Paluszny A, Matthai SK (2010) Impact of fracture development on the effective permeability of porous rocks as determined by 2-D discrete fracture growth modeling. J Geophys Res Solid Earth 115(B2)
Passey QR, Creaney S, Kulla JB, Moretti FJ, Stroud JD (1990) A practical model for the organic richness from porosity and resistivity logs. Am Assoc Petrol Geolog 74:1777–1794
Rezaee R (2015) Fundamentals of gas shale reservoirs. John Wiley and Sons, Hoboken, p 117
Rickman R, Mullen MJ, Petre JE, Grieser WV, Kundert D (2008) A practical use of shale petrophysics for stimulation design optimization: all shale plays are not clones of the Barnett shale. Annual Technical Conference and Exhibition, Society of Petroleum Engineers (SPE), Denver, pp 1–11
Rybach L (1986) Amount and significance of radioactive heat sources in sediments. In: Burrus I (ed) In collection Colloques et Seminares 44, Thermal Modelling of sedimentary Basins. Paris ed: Technip., Peris, pp 311–322
Saif-Ur-Rehman KJ, Lin D, Ehsan SA, Jadoon IA, Idrees M (2020) Structural styles, hydrocarbon prospects, and potential of Miano and Kadanwari fields, Central Indus Basin, Pakistan. Arab J Geosci 13:1–13
Schmoker JW (1979) Determination of organic content of Applachian Devonian shales from foremation-density logs. AAPG Bull 63:1504–1537
Sharma S, Agrawal V (2018) New models for determining thermal maturity and hydrocarbon potential in Marcellus Shale. In: 47th Annual AAPG-SPE Eastern Section Joint Meeting
Sohail GM, Hawkes CD, Yasin Q (2020) An Integrated petrophysical and geomechanical characterization of sembar shale in the Lower Indus Basin, Pakistan, using well logs and seismic data. J Nat Gas Sci Eng 78:103327
Vega B, Yang J, Tchelepi H, Kovscek AR (2020) Investigation of stress field and fracture development during shale maturation using analog rock systems. Transp Porous Media 131:503–535
Wandrey CJ, Law BE, Shah HA (2004) Patala-Nammal composite total petroleum system, Kohat-Potwar geologic province, Pakistan. USGS Bulletin, 2208-B
Waples DW, Leonard JE, Coskey R, Safwat S, Nagdy R (2010) A new method for obtaining personalized kinetics from archived Rock-Eval data, applied to the Bakken Formation, Williston Basin. In: Abstract, AAPG Annual Convention, Calgary
Wood DA (1988) Relationship between thermal maturity indices calculated using Arrhenius equation and Lopatin method: implications for petroleum exploration. AAPG Bull 72:115–134
Xue YJ, Cao J, Wang XJ (2020) Application of intrinsic mode function-based attenuation estimation on TOC prediction of shale gas reservoir. In: 2nd SEG Rock Physics Workshop: Challenges in Deep and Unconventional Oil/Gas Exploration. Society of Exploration Geophysicists, p 55
Acknowledgements
Author wants to acknowledge the CSC (China Scholarship Council 2015–2020) for their financial support to complete Ph.D. at China. Department of Earth Sciences and Engineering Hohai University, Nan**g, China, is acknowledged for Ph.D. thesis. The Directorate General of Petroleum Concession Pakistan is acknowledged for all relevant data including well log and seismic data. All manuscript work has been completed at the Department of Earth Sciences, Hohai University, Nan**g, China.
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Din, N.U., Hongbing, Z., Kashif, M. et al. Petro-physical evaluation and identifying possible resource plays using the porosity and resistivity logs, Lower Indus Basin, Pakistan. Arab J Geosci 14, 1793 (2021). https://doi.org/10.1007/s12517-021-08197-7
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DOI: https://doi.org/10.1007/s12517-021-08197-7