Rapid eruption of the Deccan flood basalts at the Cretaceous/Tertiary boundary

Duncan, Robert A.; Pyle, Doug

doi:10.1038/333841a0

Cited by 450 publications

(197 citation statements)

References 13 publications

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“…Several evidences indicate that most of the basaltic lavas were erupted rapidly. Recent 40 Ar-39 Ar incremental heating ages show that the Deccan volcanism has occurred within 65-69 Ma and the 2-km-thick Western Ghats section was erupted in less than 2 Ma (Duncan and Pyle 1988). Taking into consideration all the evidences for duration of volcanism, most of the Deccan basalts may have accumulated in as little as 0.5 Ma.…”

Section: Geology and Tectonicsmentioning

confidence: 99%

“…The Deccan trap is a thick sequence of flat lying flood basalt flows covering nearly 500,000 km 2 of westcentral India (Mahoney et al 1989), associated with the Reunion hotspot representing a 2-km-thick succession (in Western Ghats) of lava flow (Beane et al 1986). The center of the volcanic eruption lied near the west coast of India before the breakup of India and Seychelles that occurred 65 Ma ago with major, rapid and short duration eruptive phases that lead to the formation of the Western Ghats, which might have lasted for 1.0-0.5 Ma (Courtillot et al 1988;Duncan and Pyle 1988) with a report of very shortlived intense volcanism at the Cretaceous-Tertiary (K-T) boundary (Allègre et al 1999). The whole province might have covered more than 1.5 9 10 6 km 2 (Courtillot et al 1986) of basalt with inclusion of correlative lava flows in the offshore (Arabian Sea).…”

Section: Geology and Tectonicsmentioning

confidence: 99%

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Sub-basalt Imaging of Hydrocarbon-Bearing Mesozoic Sediments Using Ray-Trace Inversion of First-Arrival Seismic Data and Elastic Finite-Difference Full-Wave Modeling Along Sinor–Valod Profile of Deccan Syneclise, India

Talukdar

Behera

2018

Pure Appl. Geophys.

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Abstract-Imaging below the basalt for hydrocarbon exploration is a global problem because of poor penetration and significant loss of seismic energy due to scattering, attenuation, absorption and mode-conversion when the seismic waves encounter a highly heterogeneous and rugose basalt layer. The conventional (short offset) seismic data acquisition, processing and modeling techniques adopted by the oil industry generally fails to image hydrocarbon-bearing sub-trappean Mesozoic sediments hidden below the basalt and is considered as a serious problem for hydrocarbon exploration in the world. To overcome this difficulty of sub-basalt imaging, we have generated dense synthetic seismic data with the help of elastic finite-difference full-wave modeling using staggered-grid scheme for the model derived from ray-trace inversion using sparse wide-angle seismic data acquired along Sinor-Valod profile in the Deccan Volcanic Province of India. The full-wave synthetic seismic data generated have been processed and imaged using conventional seismic data processing technique with Kirchhoff pre-stack time and depth migrations. The seismic image obtained correlates with all the structural features of the model obtained through ray-trace inversion of wide-angle seismic data, validating the effectiveness of robust elastic finite-difference full-wave modeling approach for imaging below thick basalts. Using the full-wave modeling also allows us to decipher smallscale heterogeneities imposed in the model as a measure of the rugose basalt interfaces, which could not be dealt with ray-trace inversion. Furthermore, we were able to accurately image thin lowvelocity hydrocarbon-bearing Mesozoic sediments sandwiched between and hidden below two thick sequences of high-velocity basalt layers lying above the basement.

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Section: Geology and Tectonicsmentioning

confidence: 99%

Section: Geology and Tectonicsmentioning

confidence: 99%

Sub-basalt Imaging of Hydrocarbon-Bearing Mesozoic Sediments Using Ray-Trace Inversion of First-Arrival Seismic Data and Elastic Finite-Difference Full-Wave Modeling Along Sinor–Valod Profile of Deccan Syneclise, India

Talukdar

Behera

2018

Pure Appl. Geophys.

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“…The CFB provinces are believed to be intimately related to passage of continental masses over static mantle plumes (hot spot), and to the subsequent continental rifting triggered by plume activities (Morgan, 1972). It is believed that Deccan Traps were erupted during the separation of the Seychelles micro-continent from Indian, 50-60 Ma (end of Cretaceous-early Tertiary) (Duncan and Pyle, 1988) during a rifting event induced by the northward movement of the Indian subcontinent over the Late Cretaceous manifestation of Reunion plume. A remarkable feature of Deccan volcanism is the horizontal flow throughout the region.…”

Section: Geological Setting Of the Study Areamentioning

confidence: 99%

Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach

Maiti¹,

Gupta²,

Erram³

et al. 2011

Nonlin. Processes Geophys.

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Abstract. Koyna region is well-known for its triggered seismic activities since the hazardous earthquake of M = 6.3 occurred around the Koyna reservoir on 10 December 1967. Understanding the shallow distribution of resistivity pattern in such a seismically critical area is vital for mapping faults, fractures and lineaments. However, deducing true resistivity distribution from the apparent resistivity data lacks precise information due to intrinsic non-linearity in the data structures. Here we present a new technique based on the Bayesian neural network (BNN) theory using the concept of Hybrid Monte Carlo (HMC)/Markov Chain Monte Carlo (MCMC) simulation scheme. The new method is applied to invert one and two-dimensional Direct Current (DC) vertical electrical sounding (VES) data acquired around the Koyna region in India. Prior to apply the method on actual resistivity data, the new method was tested for simulating synthetic signal. In this approach the objective/cost function is optimized following the Hybrid Monte Carlo (HMC)/Markov Chain Monte Carlo (MCMC) sampling based algorithm and each trajectory was updated by approximating the Hamiltonian differential equations through a leapfrog discretization scheme. The stability of the new inversion technique was tested in presence of correlated red noise and uncertainty of the result was estimated using the BNN code. The estimated true resistivity distribution was compared with the results of singular value decomposition (SVD)-based conventional resistivity inversion results. Comparative results based on the HMC-based Bayesian Neural Network are in good agreement with the existing model results, however in some cases, it also provides more detail and precise results, which appears to be justified with local geological and structural deCorrespondence to: S. Maiti (saumen maiti2002@yahoo.co.in) tails. The new BNN approach based on HMC is faster and proved to be a promising inversion scheme to interpret complex and non-linear resistivity problems. The HMC-based BNN results are quite useful for the interpretation of fractures and lineaments in seismically active region.

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“…The 65-Ma-old DFB [33] erupted while the Indian plate crossed over the Reunion Island hotspot during its long northward drift after the break-up of the Gondwanaland [34]. The Precambrian crystalline basement, including meta-igneous and meta-sedimentary rocks as old as 2.…”

Section: Geological Settingmentioning

confidence: 99%

Origin and evolution of ‘intracratonic’ thermal fluids from central-western peninsular India

Minissale¹,

Vaselli

Chandrasekharam

et al. 2000

Earth and Planetary Science Letters

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Rapid eruption of the Deccan flood basalts at the Cretaceous/Tertiary boundary

Cited by 450 publications

References 13 publications

Sub-basalt Imaging of Hydrocarbon-Bearing Mesozoic Sediments Using Ray-Trace Inversion of First-Arrival Seismic Data and Elastic Finite-Difference Full-Wave Modeling Along Sinor–Valod Profile of Deccan Syneclise, India

Sub-basalt Imaging of Hydrocarbon-Bearing Mesozoic Sediments Using Ray-Trace Inversion of First-Arrival Seismic Data and Elastic Finite-Difference Full-Wave Modeling Along Sinor–Valod Profile of Deccan Syneclise, India

Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach

Origin and evolution of ‘intracratonic’ thermal fluids from central-western peninsular India

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