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Analysis of low-resistivity oil pay and fluid typing method of Chang 8(1) Member, Yanchang Formation in Huanxian area, Ordos Basin, China

机译:鄂尔多斯盆地华县地区延昌延伸常城地区低电阻率油薪酬与流体打字方法分析

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摘要

The Chang 8(1) Member, Yanchang Formation in Huanxian area, Ordos Basin, China, is a tight sandstone dominated reservoir with low porosity and low permeability. The contribution of pore fluid to well logging response is greatly reduced, and the resistivity of oil layer and water layer are close, which bring great difficulties to the fluid identification and logs interpretation. In this paper, we first analyzed the genetic mechanism of the low-resistivity oil pay layer in terms of reservoir petrological characteristics, irreducible water saturation and formation water salinity. The high content of clay and complex pore structure resulting in high irreducible saturation which leads to additional conductivity; and the formation water salinity has great difference in this area. In order to reduce the influence of the formation water salinity difference on the fluid identification, we separated the study area into normal oil pay region and low-resistivity oil pay region based on the relationship between formation water salinity and formation resistivity. Then, double apparent formation water resistivity difference method, fluid identification factor cross-plot method, full hydrocarbon mud logging and well logging hybrid method and the normal distribution method were established in two different regions, respectively. The comparison of different fluid identification methods show that full hydrocarbon mud logging and well logging hybrid method is the best method for fluid typing of oil layer, oil-water layer and water layer. Double apparent formation water resistivity difference method is not effective to distinguish the oil-water layers from the water layers and oil layers, and the normal distribution method is not applicable for distinguishing the low-resistivity oil pay. In the case study, the above methods are together used to identify the fluids of the reservoirs, and the application result indicates that comprehensive analysis of multiple methods can effectively improve the accuracy of fluid typing.
机译:中国鄂尔多斯盆地华县地区延昌组成的昌盛组是一个紧密砂岩主导水库,孔隙率低,渗透性低。大大降低了孔隙流体对测井响应的贡献,并且油层和水层的电阻率是关闭的,这对流体识别和日志解释带来了巨大困难。在本文中,我们首先在储层岩石学特征,不可缩短的水饱和度和地层水盐度方面分析了低电阻率油工资层的遗传机制。粘土的高含量和复杂的孔结构,导致高不可缩短的饱和度,从而导致额外的电导率;该地区的地层水盐度具有很大的差异。为了减少地层水盐度差异对流体鉴定的影响,我们将研究区域分离成普通油状物区和低电阻率油状物地区,基于地层水盐度和地层电阻率之间的关系。然后,在两个不同的区域中建立了双表观形成水电阻率差法,流体识别因子横向曲线方法,流体识别因子横向曲线方法,全烃泥浆测井和井测井杂种方法。不同流体识别方法的比较表明,全碳氢化合物泥浆测井和井测井杂化方法是油层流体键入的最佳方法,油水层和水层。双观性形成水电阻率差异方法无效地将油水层与水层和油层区分开,正常分布法不适用于区分低电阻率油工资。在实例研究中,上述方法用于识别储存器的流体,并且应用结果表明多种方法的综合分析可以有效地提高流体打字的准确性。

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