首页> 外文会议>SPWLA Annual Logging Symposium >Lithofacies-based corrections to density-neutron crossplot total porosity in a high porosity gas and oil bearing turbidite sandstone reservoir, Erha Field, OPL 209, deepwater Nigeria
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Lithofacies-based corrections to density-neutron crossplot total porosity in a high porosity gas and oil bearing turbidite sandstone reservoir, Erha Field, OPL 209, deepwater Nigeria

机译:尼日利亚深水OPL 209号Erha油田高孔隙度含气和含油浊积砂岩油藏中基于密度相交图的总孔隙度的基于岩相的校正

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A high porosity confined slope channel complex sandstone reservoir is currently undergoing a 24 well development in the Erha Field, OPL 209, deepwater Nigeria. Three conventional cores have been acquired in the field, but none in gas bearing section. Formation porosities derived from conventional log data were calibrated to the conventional core in oil and water sections only. It has been historically assumed that standard density-neutron crossplot porosities approximate true formation porosities in gas-bearing section at Erha. There is conclusive evidence, however, that porosities from gas-bearing sections at Erha are not accurately approximated by using a standard density-neutron crossplot technique. Formation porosities in the gas zones are often much larger than porosities in oil and water bearing sections. A statistical lithofacies prediction model based upon log and core data has proven useful to highlight large discrepancies in formation porosity from gas, oil and water bearing sections. The predictions rely heavily on total porosities that are calculated from the density and neutron logs through the standard density-neutron crossplot technique. The use of these data in the prediction model commonly results in predictions that apparently overestimate the fraction of low quality reservoir facies in intervals where high quality reservoir facies are expected. Crossplots of density-neutron crossplot porosity versus shale volume have been constructed to investigate the relationship between gas-bearing formation porosity and porosities calculated in oil- and water-bearing section. In all of the wells at Erha, gas-bearing formation porosities exhibit distinct trends in porosity versus shale volume that are different from the trends observed in oil and water sections. All of these porosity trends converge at a shale point of 100% shale volume. From the crossplots, correction factors have been calculated that vary directly with shale volume. These corrections work to remove all artificial gas effects that are not fully compensated for by the standard density-neutron crossplot technique. Subsequent use of the corrected porosity in lithofacies predictions has yielded more accurate and geologically reasonable results. The facies predictions from the statistical model are used as direct inputs to the final geologic and reservoir simulation models for the field. Using facies inputs dominated by low quality facies commonly results in lower average formation permeability and hydrocarbon volume estimates. Therefore, it is imperative to accurately calculate total porosity to yield the most accurate lithofacies predictions. By doing so, the reserve potential and performance of the field are accurately characterized with much less uncertainty.
机译:目前,在尼日利亚深水OPL 209的Erha油田中,一个高孔隙度的受限斜坡河道复杂砂岩油藏正在进行24口井的开发。在该领域已经获得了三个常规的岩心,但在含气段中没有一个。从常规测井数据得出的地层孔隙度仅针对油和水部分的常规岩心进行了校准。历史上一直认为,在Erha的含气段中,标准密度中子交会图孔隙度近似于真实地层孔隙度。但是,有确凿的证据表明,使用标准的密度中子交会图技术无法准确估算Erha含气段的孔隙度。气层中的地层孔隙度通常比油层和水层中的孔隙度大得多。事实证明,基于测井和岩心数据的统计岩相预测模型可用于突出含气,含油和含水段的地层孔隙度的巨大差异。这些预测很大程度上取决于通过标准密度-中子交叉图技术从密度和中子测井得出的总孔隙度。这些数据在预测模型中的使用通常会导致预测结果,该预测显然高估了预期优质储层相的区间中劣质储层相的比例。构造了密度-中子交会图孔隙度与页岩体积的交会图,以研究含气地层孔隙度与在含油和水区中计算的孔隙度之间的关系。在Erha的所有井中,含气地层孔隙度相对于页岩体积均显示出明显的趋势,这与在油和水段中观察到的趋势不同。所有这些孔隙率趋势都在页岩体积为100%的页岩点处收敛。根据交会图,已计算出校正因数,其随页岩体积直接变化。这些校正可消除标准密度中子交叉图技术无法完全补偿的所有人工气体效应。随后在岩相预测中使用校正的孔隙度产生了更准确和地质上合理的结果。统计模型的相预测被用作该油田最终地质和储层模拟模型的直接输入。使用以低质量相为主的相输入通常会导致平均地层渗透率和碳氢化合物体积估算值较低。因此,必须准确计算总孔隙率以得出最准确的岩相预测。这样,就可以准确地表征油田的储量潜力和性能,而不确定性要小得多。

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  • 来源
    《SPWLA Annual Logging Symposium》|2006年|P.1-13|共13页
  • 会议地点 Veracruz(MX)
  • 作者

    Russell W. Spears;

  • 作者单位

    Society of Petrophysicists and Well Log Analysts (SPWLA);

  • 会议组织
  • 原文格式 PDF
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