Key parameter optimization and analysis of stochastic seismic inversion

Huang, Zheyuan; Gan, Lideng; Dai, Xiaofeng; Linggao, Li; Wang, Jun

doi:10.1007/s11770-012-0313-9

Cited by 10 publications

(2 citation statements)

References 5 publications

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“…Essentially seismic lithological inversion is the joint application of the kriging technique and fractal interpolation. The co-kriging interpolation result is faithful to well point data and seismic lateral changes (Yang et al 2012;Huang et al 2012). The random fractal interpolation methods consist mainly of random midpoint shift, continuous random stacking, and spectrum synthesis.…”

Section: Seismic Data Lithological Conversion Techniquementioning

confidence: 69%

Methods for seismic sedimentology research on continental basins

Wei

2015

Pet. Sci.

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In contrast to marine deposits, continental deposits in China are characterized by diverse sedimentary types, rapid changes in sedimentary facies, complex lithology, and thin, small sand bodies. In seismic sedimentology studies on continental lacustrine basins, new thinking and more detailed and effective technical means are needed to generate lithological data cubes and conduct seismic geomorphologic analyses. Based on a series of tests and studies, this paper presents the concepts of time-equivalent seismic attributes and seismic sedimentary bodies and a ''four-step approach'' for the seismic sedimentologic study of continental basins:Step 1, build a time-equivalent stratigraphic framework based on vertical analysis and horizontal correlation of lithofacies, electrofacies, seismic facies, and paleontological combinations;Step 2, further build a sedimentary facies model based on the analysis of singlewell facies with outcrop, coring, and lab test data; Step 3, convert the seismic data into a lithological data cube reflecting different lithologies by means of seismic techniques; and Step 4, perform a time-equivalent attribute analysis and convert the planar attribute into a sedimentary facies map under the guidance of the sedimentary facies model. The whole process, highlighting the verification and calibration of geological data, is an iteration and feedback procedure of geoseismic data. The key technologies include the following: (1) a seismic data-lithology conversion technique applicable to complex lithology, which can convert the seismic reflection from interface types to rock layers; and (2) time-equivalent seismic unit analysis and a timeequivalent seismic attribute extraction technique. Finally, this paper demonstrates the validity of the approach with an example from the Qikou Sag in the Bohai Bay Basin and subsequent drilling results.

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Section: Seismic Data Lithological Conversion Techniquementioning

confidence: 69%

Methods for seismic sedimentology research on continental basins

Wei

2015

Pet. Sci.

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“…The target reservoirs include igneous rocks, metamorphic rocks, weathered crusts, mudstones, shales, conglomerates, and thin sandstone-mudstone interbeds [1][2][3][4][5]. These reservoirs are formed under complex conditions, which lead to diverse reservoir spaces and strong spatial non-homogeneity, thereby resulting in extremely complex petrophysical properties [6][7][8]. As a result, it is impossible to rely on the acoustic transit time, density, acoustic impedance, and elastic parameters to effectively distinguish between reservoir and non-reservoir units.…”

Section: Introductionmentioning

confidence: 99%

Theory and Application of Geostatistical Inversion: A Facies-Constrained MCMC Algorithm

Dong

Gui

et al. 2023

Processes

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To improve the prediction of thin reservoirs with special geophysical responses, a geostatistical inversion technique is proposed based on an in-depth analysis of the theory of geostatistical inversion. This technique is based on the Markov chain Monte Carlo algorithm, to which we added the contents of facies-constrained. The feasibility of the technique and the reliability of the prediction results are demonstrated by a prediction of the sand bodies in the braided river channel bars in the Xiazijie Oilfield in the Junggar Basin. Based on the MCMC algorithm, the results show that leveraging the lateral changes in the seismic waveforms as geologically relevant information to drive the construction of the variogram and the optimization of the statistical sampling can largely overcome the obstacle that prevents traditional geostatistical inversions from accurately delineating the sedimentary characteristics; thereby, the proposed algorithm truly achieves facies-constrained geostatistical inversion. The case study of the Xiazijie Oilfield showed the feasibility and reliability of this technology. The prediction accuracy of the FCMCMC algorithm-based geostatistical inversion is as high as 6 m for thin interbedded reservoirs, and the coincidence rate between the prediction results and the well log data is more than 85%, which confirms the reliability of the technique. The demonstrated performance of the proposed technique provides a preliminary reference for the prediction of the thin interbedded reservoirs formed in terrestrial sedimentary basins and characterized by small thicknesses and rapid lateral changes with special geophysical responses.

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Study and Application of Well-Seismic Combined Sedimentary Microfacies Prediction Method

Yang¹,

Xu²,

et al. 2020

Springer Series in Geomechanics and Geoengineering

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Key parameter optimization and analysis of stochastic seismic inversion

Cited by 10 publications

References 5 publications

Methods for seismic sedimentology research on continental basins

Methods for seismic sedimentology research on continental basins

Theory and Application of Geostatistical Inversion: A Facies-Constrained MCMC Algorithm

Study and Application of Well-Seismic Combined Sedimentary Microfacies Prediction Method

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