The Experts below are selected from a list of 10620 Experts worldwide ranked by ideXlab platform

Cnooc Tianjin - One of the best experts on this subject based on the ideXlab platform.

  • Quantitative seismic interpretation of Reservoirs based on the spectral decomposition technique
    Oil and Gas Geology, 2011
    Co-Authors: Cnooc Tianjin
    Abstract:

    Spectral decomposition is a new technique for seismic Reservoir research that transforms seismic data from time domain to frequency domain by discrete Fourier transform or maximum entropy approach.According to the theory of seismic wave propagation,this paper deduces the amplitude spectrum expression of thin beds and confirms their notches characteristics of spectrum,i.e.the reciprocal of notches period equals to the temporal Thickness of thin bed.With this principle,we discuss ideas and methods of estimating Reservoir Thickness based on spectral decomposition.In practice,quantitative interpretation of Reservoir Thickness is realized by establishing a precise velocity field of targets and computing the first spectral peak frequency in target tuning cube.The application shows that the prediction results are consistent with the drilling data,indicating they are credible.Spectral decomposition provides a new approach and method for quantitative seismic interpretation of Reservoirs and has broad application prospects.

Haiying Wang - One of the best experts on this subject based on the ideXlab platform.

  • the support vector machines for predicting the Reservoir Thickness
    International Conference on Natural Computation, 2012
    Co-Authors: Yan Deng, Haiying Wang
    Abstract:

    Reservoir Thickness is an important parameter in the description and simulation of Reservoir. The principle and method of the Support Vector Machines are introduced in this paper. Based on the previous study of seismic interpretation, 100 sets of data of the five seismic attributes and the Reservoir Thickness in a work area are used as the example for predicting the Reservoir Thickness. The results prove that this method may throw important light on the predicting and computing the Reservoir Thickness.

  • ICNC - The Support Vector Machines for predicting the Reservoir Thickness
    2012 8th International Conference on Natural Computation, 2012
    Co-Authors: Yan Deng, Haiying Wang
    Abstract:

    Reservoir Thickness is an important parameter in the description and simulation of Reservoir. The principle and method of the Support Vector Machines are introduced in this paper. Based on the previous study of seismic interpretation, 100 sets of data of the five seismic attributes and the Reservoir Thickness in a work area are used as the example for predicting the Reservoir Thickness. The results prove that this method may throw important light on the predicting and computing the Reservoir Thickness.

Yan Deng - One of the best experts on this subject based on the ideXlab platform.

  • the support vector machines for predicting the Reservoir Thickness
    International Conference on Natural Computation, 2012
    Co-Authors: Yan Deng, Haiying Wang
    Abstract:

    Reservoir Thickness is an important parameter in the description and simulation of Reservoir. The principle and method of the Support Vector Machines are introduced in this paper. Based on the previous study of seismic interpretation, 100 sets of data of the five seismic attributes and the Reservoir Thickness in a work area are used as the example for predicting the Reservoir Thickness. The results prove that this method may throw important light on the predicting and computing the Reservoir Thickness.

  • ICNC - The Support Vector Machines for predicting the Reservoir Thickness
    2012 8th International Conference on Natural Computation, 2012
    Co-Authors: Yan Deng, Haiying Wang
    Abstract:

    Reservoir Thickness is an important parameter in the description and simulation of Reservoir. The principle and method of the Support Vector Machines are introduced in this paper. Based on the previous study of seismic interpretation, 100 sets of data of the five seismic attributes and the Reservoir Thickness in a work area are used as the example for predicting the Reservoir Thickness. The results prove that this method may throw important light on the predicting and computing the Reservoir Thickness.

Feng Yao-rong - One of the best experts on this subject based on the ideXlab platform.

  • Natural gas dynamic migration in an underground gas storage in aquifer beds
    Acta Petrologica Sinica, 2012
    Co-Authors: Feng Yao-rong
    Abstract:

    In view of a very small ratio of Reservoir Thickness to area in an under ground gas storage in aquifer beds,an integral average model was proposed for the natural gas dynamic migration,based on which the injection point saturation and pressure during the natural gas dynamic migration for a planed underground gas storage were calculated.The calculation result was compared with those derived from traditional two-dimensional and three-dimensional seepage mathematical models in order to verify the precision of this proposed model.Influences of Reservoir Thickness,permeability,injection rate and drainage during the natural gas dynamic migration on the injection point pressure were studied.The study shows that the integral average model is of a high precision and can meet the actual engineering demands.The injection point pressure decreases nonlinearly with the increase of Reservoir Thickness,permeability,and drainage but increases nonlinearly with the injection rate increasing.

  • Equivalent seepage model of natural gas migration in underground gas storage Reservoir
    Journal of China University of Petroleum, 2011
    Co-Authors: Feng Yao-rong
    Abstract:

    According to the characteristics that the horizontal size is much larger than the vertical size for underground gas storage Reservoir in aquifer,an equivalent seepage model was established by the vertical integral average for the natural gas migration in the underground gas storage Reservoir in aquifer.The three-dimensional seepage problem of complex type underground gas storage Reservoir can be simplified to the plane problem taking integral average along Reservoir depth.The numerical simulation of underground gas storage Reservoir in aquifer was carried out based on the equivalent seepage model.The variarions of gas saturation and pressure of the Reservoir by gas injection were studied.The results were compared with the three-dimensional seepage model to verify the precision of the proposed model.The influences of Reservoir permeability,Reservoir Thickness,injection rate,dip angle and displacement on saturation and Reservoir pressure were studied.The examples show the equivalent seepage model is precise and correct,and can meet the actual engineering demands,which includes less parameters,higher calculation speed and facility of numerical simulation.The Reservoir pressure decreases first and then increases with permeability,Reservoir Thickness and dip angle increasing.The Reservoir pressure increases non-linearly with the increase of injection rate,but decreases non-linearly with the increase of water displacement.And,the permeability,Reservoir Thickness and dip angle are the key factors which should be considered in the design of the selecting location of underground gas storage Reservoir in aquifer.

Li Juan - One of the best experts on this subject based on the ideXlab platform.