非常规储层脉冲中子元素测井孔隙度精确测定方法

Feng Zhang, Qiu Fei, Q. Fang, Xiaoyang Zhang, Hui Zhang, F. Tang, Fan Jilin
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引用次数: 1

摘要

非常规储层孔隙度低,矿物组成复杂,含石英、长石、方解石、白云石、黄铁矿、干酪根等,可能严重降低孔隙度测量的准确性。多探测器脉冲中子测井技术已被用于通过结合非弹性和捕获不同间距的伽马射线信息来确定孔隙度。本文提出了以热中子计数比和基于元素含量的岩性因子为特征的新参数来确定非常规储层的孔隙度。为评价非常规储层的矿物组成、岩性及气/油/水饱和度,研制了一种新型多探测器脉冲中子测井工具。该仪器由两台He-3热中子探测器和一台LaBr3伽马探测器组成。因此,将近探测器与长探测器之间的热中子计数比与元素含量的岩性因子相结合,可以测量中子孔隙度,消除复杂岩性的影响。基于实验室标定坑实测数据,结合数值模拟方法,研究了不同岩性特征和矿物类型对中子计数比的影响。同时,利用蒙特卡罗模拟方法建立了大量具有不同岩性特征和不同矿物组成的地层模型,利用谱元溶液测定了不同地层条件下硅、钙、氢、氧、镁、铝、铁的含量。通过回归分析,建立了元素含量与岩性因素的关系。通过结合岩性校正系数和热中子计数比,消除了不同岩性和矿物组成造成的计数比差异。建立了不同矿物组成的地层模拟模型进行验证。孔隙度测量的绝对误差小于1.0p.u。在孔隙度小于15p.u的地层中。验证了该方法在复杂岩性地层中子孔隙度评价中的准确性。该参数结合热中子计数比和三探测器脉冲中子仪的地层元素含量信息对2个油田实例进行了处理,结果表明该参数在非常规油气藏评价中具有较好的准确性。
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AN ACCURATELY DETERMINING POROSITY METHOD FROM PULSED-NEUTRON ELEMENT LOGGING IN UNCONVENTIONAL RESERVOIRS
Unconventional reservoirs have low porosity and complex mineral composition containing quartz, feldspar, calcite, dolomite, pyrite and kerogen, which may seriously reduce the accuracy of the porosity measurement. The multi-detector pulsed neutron logging technique was already used for determining porosity through the combination of inelastic and capture gamma ray information in different spacing. In this paper, the new parameter, which is characterized by thermal neutron count ratio and lithology factor based on element content, is proposed to determine porosity from the three-detector pulsed neutron element logging in unconventional reservoir. To evaluate mineral composition, lithology, and gas/oil/water saturation in unconventional reservoir, a new multi-detector pulsed neutron logging tool was put out. The instrument consists of two He-3 thermal neutron detectors and a LaBr3 gamma detector. Therefore, the combination of thermal neutron count ratio between near detector and long detector with lithology factor of element content can measure neutron porosity and eliminate the influence of complex lithology. Based on some calibration pit data measured in laboratory, as well as the numerical simulation method, the influences of different lithological characters and mineral types on the neutron count ratio were studied. Meanwhile, large numbers of stratigraphic models with different lithological characters and different mineral compositions were established using Monte Carlo simulation method, and the content of silicon, calcium, hydrogen, oxygen, magnesium, aluminum and iron under different stratigraphic conditions was determined by the spectral element solution. A regression analysis was conducted to establish the relationship between the content of elements and the lithologic factor. The count ratio difference stemming from different lithological and mineral compositions was eliminated through a combination of lithological correction factor and thermal neutron count ratio. Different mineral compositions of stratigraphic simulation models were set up for verification. The absolute error of porosity measurement was less than 1.0p.u. in the formations with porosity less than 15p.u., which verified the accuracy of this method for neutron porosity evaluation in complex lithological characters formations. Two field examples were processed by this new parameter which in combination of thermal neutron count ratio and formation elements content information from the three-detector pulsed neutron instrument, which indicated a good accuracy for unconventional oil and gas reservoir evaluation.
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