苏里格地区有效储层测井识别方法研究
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摘要
苏里格地区位于鄂尔多斯盆地北部,主力含气层为上古生界下石盒子组盒8段和山西组山1段。苏里格气田是迄今为止中国陆上发现的最大天然气气田,预计最终储量规模可达3×1012m3。苏里格气田也是低渗透致密砂岩气藏的典型代表,储层物性差、非均质性强、气水关系复杂。储层成岩作用、孔隙结构和天然气充注程度的差异,严重影响了利用测井资料准确识别和评价气层的能力。本文在岩石物理配套实验的基础上,对低阻气层成因机理、气水层识别方法、气层精细分类标准及测井产能预测方法等进行了深入研究,主要取得如下认识：
(1)溶蚀作用和粘土矿物充填孔隙引起的高孔隙度、高微孔率,以及粒间孔(粒间溶孔)与微孔并存的孔隙结构特点是苏里格地区低阻气层形成的主要原因；部分高渗透层泥浆滤液的深侵入降低了气层电阻率。
(2)根据含水气层的成因模式和地层水赋存状态,结合区域构造、储层孔隙结构和非均质情况将地层水产状划分为三类,即束缚水、层间水和滞留水,其中储层纵向、横向非均质、驱替不充分导致的层间残余水和滞留水是地层产水的主要原因。
(3)建立了高分辨率感应-侧向电阻率联测法、测井-气测综合分析法、分区交会图版法、视弹性模量系数法等多种气水层综合判识技术,气水层识别符合率达到85%以上；其中高分辨率感应-侧向电阻率联测法是识别低阻气水层的有效手段。
(4)利用高压半渗透隔板法阵列岩电实验仪研究了致密砂岩岩电参数变化规律,建立了基于岩石导电效率和密闭取心分析刻度的含水饱和度计算模型,提高了储层含气性评价精度。
(5)建立了动静态结合、测井多参数标定的产能分级预测标准,实现了对气井产能的快速分类。
Sulige gasfield lies in north of Ordos Basin, major gas reservoir is He 8 and Shan 1 layers of Neopaleozoic. Sulige gasfield is the largest discovered gasfield onland so far in China, expected ultimate reserves is 3x1012m3. Sulige gasfield is also the typifier of the low permeability tight sandstone gas reservoirs, physical property is bad, anisotropy is strong and gas/water relationship is complicate of the reservoir. The difference of diagenesis, pore configuration and pouring degree of gas seriously affected the ability which takes well logging data to identify and evaluate gas reservoir. In this dissertation, Aiming at the above questions, we study the causing mechanism of low resistivity gas zone, well logging identification method of gas reservoir, fluids rate forecast and etal. The main conclusions are as follows:
(1) High porosity, high microporosity and the coexisting of filtrational por and micropore is the main reason which induce the causing mechanism of low resistivity gas reservoir. At the same moment, in some high permeability zone, the deep invasion of mud filtrate also reduce the resistivity.
(2) According to genetic model of water in gas reservoir and existent situation of formation water, this paper divides the water bearing gas zone into three types:combined water, interstratum water, resident water. Indicating the main reason of gas reservoir containing water is vertical & horizontal anisotropic, displace insufficient irreducible water and retained water.
(3) According to the well logging responding mechanism of gas, recognition methods of gas water layers, such as induction and laterologging combined interpretation method, cross plot method, gas survey method and so on are proposed, which make the logging interpretation coincidence rate of low resistivity oil reservoir raises from 70% to 85%, and acquires good effect.
(4) Using semi-permeable baffle plate experimental apparatus, the regular pattern of lithological-electrical parameters in tight sandstone is studied, and the self-adaptive model of lithological-electrical parameters and the saturation model based on the sealed core data are established, which improves the accuracy of gas-bearing reservoir evaluation.
(5) It researches the dynamical & statical and logging multi-parameters standard of fluids rate forecast, and achieves production of gas well quickly classify.
(1)溶蚀作用和粘土矿物充填孔隙引起的高孔隙度、高微孔率,以及粒间孔(粒间溶孔)与微孔并存的孔隙结构特点是苏里格地区低阻气层形成的主要原因；部分高渗透层泥浆滤液的深侵入降低了气层电阻率。
(2)根据含水气层的成因模式和地层水赋存状态,结合区域构造、储层孔隙结构和非均质情况将地层水产状划分为三类,即束缚水、层间水和滞留水,其中储层纵向、横向非均质、驱替不充分导致的层间残余水和滞留水是地层产水的主要原因。
(3)建立了高分辨率感应-侧向电阻率联测法、测井-气测综合分析法、分区交会图版法、视弹性模量系数法等多种气水层综合判识技术,气水层识别符合率达到85%以上；其中高分辨率感应-侧向电阻率联测法是识别低阻气水层的有效手段。
(4)利用高压半渗透隔板法阵列岩电实验仪研究了致密砂岩岩电参数变化规律,建立了基于岩石导电效率和密闭取心分析刻度的含水饱和度计算模型,提高了储层含气性评价精度。
(5)建立了动静态结合、测井多参数标定的产能分级预测标准,实现了对气井产能的快速分类。
Sulige gasfield lies in north of Ordos Basin, major gas reservoir is He 8 and Shan 1 layers of Neopaleozoic. Sulige gasfield is the largest discovered gasfield onland so far in China, expected ultimate reserves is 3x1012m3. Sulige gasfield is also the typifier of the low permeability tight sandstone gas reservoirs, physical property is bad, anisotropy is strong and gas/water relationship is complicate of the reservoir. The difference of diagenesis, pore configuration and pouring degree of gas seriously affected the ability which takes well logging data to identify and evaluate gas reservoir. In this dissertation, Aiming at the above questions, we study the causing mechanism of low resistivity gas zone, well logging identification method of gas reservoir, fluids rate forecast and etal. The main conclusions are as follows:
(1) High porosity, high microporosity and the coexisting of filtrational por and micropore is the main reason which induce the causing mechanism of low resistivity gas reservoir. At the same moment, in some high permeability zone, the deep invasion of mud filtrate also reduce the resistivity.
(2) According to genetic model of water in gas reservoir and existent situation of formation water, this paper divides the water bearing gas zone into three types:combined water, interstratum water, resident water. Indicating the main reason of gas reservoir containing water is vertical & horizontal anisotropic, displace insufficient irreducible water and retained water.
(3) According to the well logging responding mechanism of gas, recognition methods of gas water layers, such as induction and laterologging combined interpretation method, cross plot method, gas survey method and so on are proposed, which make the logging interpretation coincidence rate of low resistivity oil reservoir raises from 70% to 85%, and acquires good effect.
(4) Using semi-permeable baffle plate experimental apparatus, the regular pattern of lithological-electrical parameters in tight sandstone is studied, and the self-adaptive model of lithological-electrical parameters and the saturation model based on the sealed core data are established, which improves the accuracy of gas-bearing reservoir evaluation.
(5) It researches the dynamical & statical and logging multi-parameters standard of fluids rate forecast, and achieves production of gas well quickly classify.
引文
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