The estimation of shale components is important for the study of shale oil and gas exploration and development. This paper introduces a method (SCP-BPlogR) to evaluate shale components using conventional well logs. The SCP-BPlogR model is a method by combining BP neural network with the improved ΔlogR technique. In the work, the component model of shale is firstly constructed and calibrated, and then the principles of the SCP-BPlogR model is reviewed, including the brief introduction, kerogen volume calculated, well logs selected and the BP neural network training. Finally, this paper documents a case study from the Paleogene Shahejie Formation shales in Damintun Sag of Bohai Bay Basin where the SCP-BPlogR is successfully implemented and is in good agreement with core measurements. SCP-BPlogR model is a non-linear method, which pays attention to the influence of organic carbon in residual oil and gas on kerogen volume and the effect of kerogen on mineral volume and porosity. The field example confirm the accuracy and reliability of the SCP-BPlogR model to estimate shale components.


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  1. AdigunaH. and Torres-VerdinC.
    [2013] Comparative Study for the Interpretation of Mineral Concentrations, Total Porosity, and TOC in Hydrocarbon-Bearing Shale from Conventional Well Logs. SPE Paper No 166139, SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, USA, 30 September.
    [Google Scholar]
  2. Hecht-NielsenR.
    [1989] Theory of the back propagation neural network. International Joint Conference on. IEEE, 593–605.
    [Google Scholar]
  3. HuH.T., LuS.F., LiuC., WangW.M., WangM., LiJ.J. and ShangJ.H.
    [2011] Models for calculating organic carbon content from logging information: comparison and analysis. Acta Sedimentologica Sinica, 29(6): 1199–1205.
    [Google Scholar]
  4. Jin, X.C., Shah, S.N. and Roegiers, J.C.
    [2014] Fracability Evaluation in Shale Reservoirs-An Integrated Petrophysics and Geomechanics Approach. SPE, Paper No 168589. SPE Hydraulic Fracturing Technology Conference, Society of Petroleum Engineers, USA, 4–6 February.
    [Google Scholar]
  5. WarnerM., SarmahBB, and MurphyE.
    [2013] A Workflow to Evaluate Porosity, Mineralogy, and TOC in the Utica-Point Pleasant Shale Play. SPE Eastern Regional Meeting. Society of Petroleum Engineers, USA, 20–22 August.
    [Google Scholar]
  6. ZhongG.F., LiQ.Y., ChenQ. and MaZ.T.
    [2006] Oligocene mineral component inversion based on geophysical well logs from ODP Hole 1148A, South China Sea. Journal-Tongji University, 34(10): 1403–1407.
    [Google Scholar]

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