Thin-interbedded reservoirs prediction based on seismic sedimentology

Interference of thin-interbedded layers in seismic reflections has great negative impact on thin-interbedded reservoirs prediction. To deal with this, two novel methods are proposed that can predict the thin-interbedded reservoirs distribution through strata slices by suppressing the interference of...

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Main Authors: Changkuan NI, Mingjun SU, Cheng YUAN, Huaqing LIU, Xiangli CUI
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-01-01
Series:Petroleum Exploration and Development
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S187638042260315X
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author Changkuan NI
Mingjun SU
Cheng YUAN
Huaqing LIU
Xiangli CUI
author_facet Changkuan NI
Mingjun SU
Cheng YUAN
Huaqing LIU
Xiangli CUI
author_sort Changkuan NI
collection DOAJ
description Interference of thin-interbedded layers in seismic reflections has great negative impact on thin-interbedded reservoirs prediction. To deal with this, two novel methods are proposed that can predict the thin-interbedded reservoirs distribution through strata slices by suppressing the interference of adjacent layer with the help of seismic sedimentology. The plane distribution of single sand bodies in thin-interbedded reservoirs can be clarified. (1) The minimum interference frequency slicing method, uses the amplitude-frequency attribute estimated by wavelet transform to find a constant seismic frequency with the minimum influence on the stratal slice of target layer, and then an optimal slice corresponding the constant frequency mentioned above can be obtained. (2) The superimposed slicing method can calculate multiple interference coefficients of reservoir and adjacent layers of target geological body, and obtain superimposed slice by weighted stacking the multiple stratal slices of neighboring layers and target layer. The two proposed methods were used to predict the distribution of the target oil layers of 6 m thick in three sets of thin-interbedded reservoirs of Triassic Kelamayi Formation in the Fengnan area of Junggar Basin, Northwestern China. A comparison with drilling data and conventional stratal slices shows that the two methods can predict the distribution of single sand bodies in thin-interbedded reservoirs more accurately.
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spelling doaj.art-9b33d99b65ab496eab55fa625ea627c62022-12-22T04:02:36ZengKeAi Communications Co., Ltd.Petroleum Exploration and Development1876-38042022-01-01494851863Thin-interbedded reservoirs prediction based on seismic sedimentologyChangkuan NI0Mingjun SU1Cheng YUAN2Huaqing LIU3Xiangli CUI4Research Institute of Petroleum Exploration and Development-Northwest (NWGI), PetroChina, Lanzhou 730020, China; University of Electronic Science and Technology, Chengdu 611731, China; Corresponding authorResearch Institute of Petroleum Exploration and Development-Northwest (NWGI), PetroChina, Lanzhou 730020, ChinaResearch Institute of Petroleum Exploration and Development-Northwest (NWGI), PetroChina, Lanzhou 730020, ChinaResearch Institute of Petroleum Exploration and Development-Northwest (NWGI), PetroChina, Lanzhou 730020, ChinaResearch Institute of Petroleum Exploration and Development-Northwest (NWGI), PetroChina, Lanzhou 730020, ChinaInterference of thin-interbedded layers in seismic reflections has great negative impact on thin-interbedded reservoirs prediction. To deal with this, two novel methods are proposed that can predict the thin-interbedded reservoirs distribution through strata slices by suppressing the interference of adjacent layer with the help of seismic sedimentology. The plane distribution of single sand bodies in thin-interbedded reservoirs can be clarified. (1) The minimum interference frequency slicing method, uses the amplitude-frequency attribute estimated by wavelet transform to find a constant seismic frequency with the minimum influence on the stratal slice of target layer, and then an optimal slice corresponding the constant frequency mentioned above can be obtained. (2) The superimposed slicing method can calculate multiple interference coefficients of reservoir and adjacent layers of target geological body, and obtain superimposed slice by weighted stacking the multiple stratal slices of neighboring layers and target layer. The two proposed methods were used to predict the distribution of the target oil layers of 6 m thick in three sets of thin-interbedded reservoirs of Triassic Kelamayi Formation in the Fengnan area of Junggar Basin, Northwestern China. A comparison with drilling data and conventional stratal slices shows that the two methods can predict the distribution of single sand bodies in thin-interbedded reservoirs more accurately.http://www.sciencedirect.com/science/article/pii/S187638042260315Xseismic sedimentologythin-interbedded reservoirstratal sliceamplitude-frequency spectrumTriassic Kelamayi FormationJunggar Basin
spellingShingle Changkuan NI
Mingjun SU
Cheng YUAN
Huaqing LIU
Xiangli CUI
Thin-interbedded reservoirs prediction based on seismic sedimentology
Petroleum Exploration and Development
seismic sedimentology
thin-interbedded reservoir
stratal slice
amplitude-frequency spectrum
Triassic Kelamayi Formation
Junggar Basin
title Thin-interbedded reservoirs prediction based on seismic sedimentology
title_full Thin-interbedded reservoirs prediction based on seismic sedimentology
title_fullStr Thin-interbedded reservoirs prediction based on seismic sedimentology
title_full_unstemmed Thin-interbedded reservoirs prediction based on seismic sedimentology
title_short Thin-interbedded reservoirs prediction based on seismic sedimentology
title_sort thin interbedded reservoirs prediction based on seismic sedimentology
topic seismic sedimentology
thin-interbedded reservoir
stratal slice
amplitude-frequency spectrum
Triassic Kelamayi Formation
Junggar Basin
url http://www.sciencedirect.com/science/article/pii/S187638042260315X
work_keys_str_mv AT changkuanni thininterbeddedreservoirspredictionbasedonseismicsedimentology
AT mingjunsu thininterbeddedreservoirspredictionbasedonseismicsedimentology
AT chengyuan thininterbeddedreservoirspredictionbasedonseismicsedimentology
AT huaqingliu thininterbeddedreservoirspredictionbasedonseismicsedimentology
AT xianglicui thininterbeddedreservoirspredictionbasedonseismicsedimentology