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Volume 40 Issue 3
May  2021
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Article Navigation >  Bulletin of Geological Science and Technology  > 2021  >  40(3): 54-66
He Tingting, Tan Xin, Duan Taizhong, Zhao Lei, Zhang Wenbiao, Qiao Yong, Liu Yanfeng. Integrated sedimentary forward modeling and multipoint geostatistics in braided river delta simulation: A case from block T of Tahe Oilfield[J]. Bulletin of Geological Science and Technology, 2021, 40(3): 54-66. doi: 10.19509/j.cnki.dzkq.2021.0301
Citation: He Tingting, Tan Xin, Duan Taizhong, Zhao Lei, Zhang Wenbiao, Qiao Yong, Liu Yanfeng. Integrated sedimentary forward modeling and multipoint geostatistics in braided river delta simulation: A case from block T of Tahe Oilfield[J]. Bulletin of Geological Science and Technology, 2021, 40(3): 54-66. doi: 10.19509/j.cnki.dzkq.2021.0301
shu

Integrated sedimentary forward modeling and multipoint geostatistics in braided river delta simulation: A case from block T of Tahe Oilfield

doi: 10.19509/j.cnki.dzkq.2021.0301
  • Received Date: 12 Jun 2020
    Abstract
  • In order to effectively improve the accuracy of delta sedimentary facies simulation, based on integrated analysis of seismic, core and logging data of Tahe Block T to quantitatively evaluate the complex relationship between recommendation, source supply and transportation, multi-condition constraint is used to create the sedimentary forward model of braided delta sandbody as the 3D training image of multipoint geostatistical simulation.The study shows that the sand body distribution in the braided river delta is affected by the control parameters of sedimentary forward modeling, and the percentage of sandstone supply, the ratio of sediment flow, the discharge and the flood interval are all strong sensitivity parameters, which have a great influence on the distribution of delta sand bodies in the study area; The sandstone content model embodies the retrogradation sedimentary process of the braided river delta, and conforms to the sedimentary characteristics of the study area.Then it is converted to 3D training image, and the multipoint simulation result is characterized by the training image constraints in the three-dimensional space, revealing the facies contact relationship reflected by the training image, and consistent with the drilling knowledge.This study proposes a new method for acquiring 3D training images, which combines the advantages of sedimentary forward modeling and multipoint geostatistical simulation, and has achieved certain application effect, which has a certain reference for the similar 3D geological modeling of sediments.

     

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