技术领域technical field
本发明属于油气勘探技术领域，涉及断层油气勘探技术，具体地说，涉及了一种断层圈闭含油性的定量评价方法。The invention belongs to the technical field of oil and gas exploration, and relates to fault oil and gas exploration technology, in particular to a quantitative evaluation method for the oiliness of fault traps.
背景技术Background technique
断裂对绝大多数油气藏的形成与分布具有重要的控制作用。断裂与油气成藏的关系密切，主要表现在断裂控制盆地的形成与演化、构成油气输导通道、控制圈闭的产生等，形成了独特的断裂控藏理论。断裂在演化过程中通过对地层构造形态的改造，形成了有利于油气富集的断层圈闭，然而，由于复杂断裂带油气差异成藏现象明显，断圈的油气勘探难度与风险较大，准确识别与判断断层圈闭的含油气性，有利于指导断层油气藏的勘探。Faults play an important role in controlling the formation and distribution of most oil and gas reservoirs. Faults are closely related to oil and gas accumulation, mainly manifested in the fact that faults control the formation and evolution of basins, form oil and gas transport channels, and control the generation of traps, etc., forming a unique theory of faults controlling accumulation. During the evolution process of the fault, through the transformation of the stratigraphic structure, fault traps that are conducive to oil and gas enrichment have been formed. However, due to the obvious phenomenon of oil and gas accumulation in complex fault zones, oil and gas exploration in fault circles is more difficult and risky. Accurate Identifying and judging the hydrocarbon-bearing properties of fault traps is beneficial to guide the exploration of fault oil and gas reservoirs.
目前，国内外研究者提供了多种方法与思路对断层圈闭的含油性进行定量评价，分别从断裂的发育特征、断层活动性与封闭性、断层圈闭的时空有效性等角度出发，采用“三角图”综合评价图版、单一评价指数、模糊综合评价或数理统计综合评价定量分析，其中，数理统计综合评价方法的数学评价模型简单，评价指标丰富，客观性较强，是目前应用最多的一类方法。数理统计综合评价常用的数学方法有模糊数学法、灰色理论法和灰色模糊数学法等。例如，刘哲提供了一种利用模糊数学法对断裂在油气成藏中控制作用的定量研究方法，对南堡2号东构造断层圈闭进行油气钻探风险性评价，并指出了油气钻探风险最小的断层圈闭。At present, researchers at home and abroad have provided a variety of methods and ideas to quantitatively evaluate the oiliness of fault traps, starting from the development characteristics of faults, fault activity and sealing, and the temporal and spatial validity of fault traps. Quantitative analysis of "triangular diagram" comprehensive evaluation chart, single evaluation index, fuzzy comprehensive evaluation or comprehensive evaluation of mathematical statistics. Among them, the comprehensive evaluation method of mathematical statistics has a simple mathematical evaluation model, rich evaluation indicators, and strong objectivity. It is currently the most widely used method. A class of methods. The commonly used mathematical methods in the comprehensive evaluation of mathematical statistics include fuzzy mathematics, gray theory and gray fuzzy mathematics. For example, Liu Zhe provided a quantitative research method using fuzzy mathematics to control the role of faults in oil and gas accumulation, evaluated the oil and gas drilling risk of the Nanpu No. 2 east structural fault trap, and pointed out that the oil and gas drilling risk is the least fault traps.
然而，上述这种模糊数学法在确定权重系数与构建隶属度函数方面较为粗糙，权重系数确定方法多采用层系分析法与专家评估法，缺少一定的准确性；隶属度函数通常为简单赋值，精度较低。此外，考虑定量评价内容的要素过多，评价过程繁琐，缺乏普遍适用性。However, the above-mentioned fuzzy mathematics method is relatively rough in determining the weight coefficient and constructing the membership function. The method of determining the weight coefficient mostly adopts the layer system analysis method and the expert evaluation method, which lacks certain accuracy; the membership function is usually a simple assignment, The precision is lower. In addition, there are too many factors to consider in the quantitative evaluation content, the evaluation process is cumbersome, and it lacks universal applicability.
发明内容Contents of the invention
本发明针对现有技术存在的准确性差、精度低等上述问题，提供一种断层圈闭含油性的定量评价方法，能够准确判断断层圈闭的含油气性，精度高，简单易行，使用范围广。The present invention aims at the above-mentioned problems of poor accuracy and low precision existing in the prior art, and provides a quantitative evaluation method for the oiliness of fault traps, which can accurately judge the oiliness of fault traps, has high precision, is simple and easy to implement, and has a wide range of applications. wide.
为了达到上述目的，本发明提供了一种断层圈闭含油性的定量评价方法，其具体步骤为：In order to achieve the above object, the present invention provides a method for quantitatively evaluating the oiliness of fault traps, the specific steps of which are:
S1、根据断裂对油气的断层输导能力、断层侧向封堵能力、断-砂配置侧向输导能力3个控制作用，确定论域集U＝{断层输导能力、断层侧向封堵能力、断-砂配置侧向输导能力}；S1. According to the three controlling effects of faults on oil and gas, the fault transport capacity, the lateral sealing capacity of faults, and the lateral transport capacity of fault-sand configuration, determine the domain set U = {fault transport capacity, lateral sealing capacity of faults capacity, fracture-sand configuration lateral conduction capacity};
S2、采用定性排列定量转化法确定权重系数；S2. Determine the weight coefficient by qualitative arrangement and quantitative conversion method;
S3、建立论域集U中各影响因素的隶属度函数，计算隶属度评价值；S3. Establish the membership function of each influencing factor in the domain set U, and calculate the evaluation value of the membership degree;
S4、根据步骤S2确定的权重系数和步骤S3得到的隶属度评价值建立断层圈闭含油性的隶属度评价值取值标准表及与其对应的隶属度评价值矩阵，利用加权平均法计算目标断层圈闭含油性的综合评价值C，根据综合评价值C评价断层圈闭含油性。S4. According to the weight coefficient determined in step S2 and the evaluation value of the degree of membership obtained in step S3, the standard table of evaluation value of the degree of membership of fault trap oiliness and the matrix of evaluation values of the degree of membership corresponding to it are established, and the target fault is calculated by using the weighted average method The comprehensive evaluation value C of the oiliness of the trap is based on the comprehensive evaluation value C to evaluate the oiliness of the fault trap.
优选的，步骤S2中，确定权重系数的方法为：Preferably, in step S2, the method for determining the weight coefficient is:
对论域集U中各影响因素按照重要程度排序，然后做如下定量化处理：Rank the influencing factors in the domain set U according to their importance, and then do the following quantitative processing:
Sn(I)＝ln(Q-I)/ln(Q-1) (1)Sn (I)=ln(QI)/ln(Q-1) (1)
式中，I为排序变量，I∈(1，2，…，j，j+1)，j为实际最大顺序号；Q,Q＝j+2为转换参数量；Sn(I)为I定量转化对应值；n为因素集；In the formula, I is the sorting variable, I∈(1, 2, ..., j, j+1), j is the actual maximum sequence number; Q, Q=j+2 is the conversion parameter; Sn (I) is I Quantitative conversion corresponding value; n is factor set;
把N个定量转化的结果通过公式(2)进行归一化处理，归一化后得到的值即为权重系数，公式(2)表示为：The results of N quantitative transformations are normalized by formula (2), and the value obtained after normalization is the weight coefficient. Formula (2) is expressed as:
式中，an为归一化后的权重系数。In the formula, an is the normalized weight coefficient.
优选的，步骤S3中，计算隶属度评价值的具体方法为：Preferably, in step S3, the specific method for calculating the membership degree evaluation value is:
对于影响因素断层输导能力，其隶属度函数表示为：For the influencing factor fault conduction capacity, its membership function is expressed as:
式中，B1为断层输导能力隶属度评价值；Tv为断层输导能力参数；B为油源断层对应的油气供应量，其中，主油源断层对应的油气供应量赋值为0.466，分支断层对应的油气供应量赋值为0.392，次油源断层对应的油气供应量赋值为0.142；v为断层活动速率，单位：m/Ma；θ为断层走向与区域主压应力方向的夹角，单位：°；β为断层倾角，单位：°；L为断层延伸长度，单位：km；ΔH为馆陶组下段断接厚度，单位：m；In the formula, B1 is the evaluation value of the membership degree of the fault transport capacity; Tv is the parameter of the fault transport capacity; B is the oil and gas supply corresponding to the oil source fault, in which, the assigned value of the oil and gas supply corresponding to the main oil source fault is 0.466, The assignment of oil and gas supply corresponding to branch faults is 0.392, and the assignment of oil and gas supply corresponding to sub-source faults is 0.142; v is the fault activity rate, unit: m/Ma; θ is the angle between the fault strike and the direction of the regional principal compressive stress, Unit: °; β is the dip angle of the fault, unit: °; L is the extension length of the fault, unit: km; ΔH is the disconnection thickness of the lower member of the Guantao Formation, unit: m;
对于影响因素断层侧向封堵能力，其隶属度函数表示为：For the lateral sealing capacity of the influencing factors, the membership function is expressed as:
式中，B2为断层侧向封堵能力隶属度评价值，SGR为泥岩涂抹程度；In the formula,B2 is the evaluation value of the membership degree of the lateral sealing ability of the fault, and SGR is the mudstone smear degree;
对于影响因素断-砂配置侧向输导能力，其隶属度函数表示为：For the influencing factors of fault-sand configuration lateral conductivity, the membership function is expressed as:
式中，B3为断-砂配置侧向输导能力隶属度评价值，Th为断-砂配置侧向输导能力参数；In the formula, B3 is the evaluation value of the membership degree of the fault-sand configuration lateral conductivity, and Th is the parameter of the fault-sand configuration lateral conductivity;
通过上述公式(4)、公式(6)、公式(7)即可计算出论域集U中各影响因素的隶属度评价值。The evaluation value of the membership degree of each influencing factor in the domain set U can be calculated by the above formula (4), formula (6) and formula (7).
优选的，步骤S4中，利用加权平均法通过公式(8)计算目标断层圈闭含油性的综合评价值C，公式(8)表示为：Preferably, in step S4, the comprehensive evaluation value C of the oiliness of the target fault trap is calculated by using the weighted average method through the formula (8), and the formula (8) is expressed as:
式中，m为影响因素个数；Bi为第i个影响因素的隶属度评价值；ani为第i个影响因素的权重系数。In the formula, m is the number of influencing factors; Bi is the membership degree evaluation value of the i-th influencing factor; ani is the weight coefficient of the i-th influencing factor.
与现有技术相比，本发明的优点和积极效果在于：Compared with prior art, advantage and positive effect of the present invention are:
(1)本发明提供的断层圈闭含油性的定量评价方法，充分考虑了断裂对油气的控制作用，具体表现为断层输导能力控制油气充注与分布、断层侧向封堵能力影响油气富集程度、断-砂配置侧向输导能力为油气分流提供条件3个方面。在将影响因素量化的过程中，缩减了评价内容，且提升了权重系数确定方法与相关隶属度函数构建方法的精度。(1) The quantitative evaluation method for the oiliness of fault traps provided by the present invention fully considers the controlling effect of faults on oil and gas, specifically, the fault transport capacity controls oil and gas charging and distribution, and the lateral sealing capacity of faults affects oil and gas enrichment The degree of concentration and the lateral transport capacity of fault-sand configuration provide conditions for oil and gas diversion. In the process of quantifying the influencing factors, the evaluation content is reduced, and the accuracy of the weight coefficient determination method and the related membership function construction method is improved.
(2)本发明提供的断层圈闭含油性的定量评价方法，简单易行，能适用于多地区的断圈评价，具有精准、可靠、高效的特点，便于在油田勘探中推广，对断层油气藏的勘探具有指导借鉴意义。(2) The quantitative evaluation method for the oiliness of fault traps provided by the present invention is simple and easy to implement, and can be applied to the evaluation of fault circles in multiple regions. The exploration of Tibet is of guiding significance.
附图说明Description of drawings
图1为本发明实施例所述断层圈闭含油性的定量评价方法的流程图；Fig. 1 is the flow chart of the quantitative evaluation method of fault trap oiliness described in the embodiment of the present invention;
图2为本发明实施例所述断层输导能力隶属度函数示意图；Fig. 2 is a schematic diagram of the membership degree function of the fault transport capacity described in the embodiment of the present invention;
图3为本发明实施例所述断层侧向封堵能力隶属度函数示意图；Fig. 3 is a schematic diagram of the membership degree function of the fault lateral sealing ability according to the embodiment of the present invention;
图4为本发明实施例所述桩海地区断圈含油性定量评价典型井分布关系图。Fig. 4 is a typical well distribution diagram for the quantitative evaluation of oiliness in fault circles in the Zhuanghai area according to the embodiment of the present invention.
具体实施方式Detailed ways
下面，通过示例性的实施方式对本发明进行具体描述。然而应当理解，在没有进一步叙述的情况下，一个实施方式中的元件、结构和特征也可以有益地结合到其他实施方式中。In the following, the present invention will be specifically described through exemplary embodiments. It should be understood, however, that elements, structures and characteristics of one embodiment may be beneficially incorporated in other embodiments without further recitation.
参见图1，本发明提供了一种断层圈闭含油性的定量评价方法，其具体步骤为：Referring to Fig. 1, the present invention provides a kind of quantitative evaluation method of fault trap oiliness, and its concrete steps are:
S1、根据断裂对油气的断层输导能力、断层侧向封堵能力、断-砂配置侧向输导能力3个控制作用，确定论域集U＝{断层输导能力、断层侧向封堵能力、断-砂配置侧向输导能力}。S1. According to the three controlling effects of faults on oil and gas, the fault transport capacity, the lateral sealing capacity of faults, and the lateral transport capacity of fault-sand configuration, determine the domain set U = {fault transport capacity, lateral sealing capacity of faults capacity, fracture-sand configuration lateral conduction capacity}.
S2、采用定性排列定量转化法确定权重系数；其具体方法为：S2. Determine the weight coefficient by qualitative arrangement and quantitative conversion method; the specific method is:
对论域集U中各影响因素按照重要程度排序，然后做如下定量化处理：Rank the influencing factors in the domain set U according to their importance, and then do the following quantitative processing:
Sn(I)＝ln(Q-I)/ln(Q-1) (1)Sn (I)=ln(QI)/ln(Q-1) (1)
式中，I为排序变量，I∈(1，2，…，j，j+1)，j为实际最大顺序号；Q,Q＝j+2为转换参数量；Sn(I)为I定量转化对应值；n为因素集；In the formula, I is the sorting variable, I∈(1, 2, ..., j, j+1), j is the actual maximum sequence number; Q, Q=j+2 is the conversion parameter; Sn (I) is I Quantitative conversion corresponding value; n is factor set;
把N个定量转化的结果通过公式(2)进行归一化处理，归一化后得到的值即为权重系数，公式(2)表示为：The results of N quantitative transformations are normalized by formula (2), and the value obtained after normalization is the weight coefficient. Formula (2) is expressed as:
式中，an为归一化后的权重系数。In the formula, an is the normalized weight coefficient.
具体地，由于断层输导能力对于油气成藏在一定范围内具有决定性作用，可排序为1；断层侧向封堵能力对油气富集起到重要作用，排序为1.5；而断-砂配置侧向输导能力对于油气分流、影响富集层系具有一定作用，排序为2。则各影响因素的权重系数参见表1。Specifically, because the fault transport capacity plays a decisive role in hydrocarbon accumulation within a certain range, it can be ranked as 1; the lateral sealing capacity of faults plays an important role in oil and gas enrichment, and the ranking is 1.5; while fault-sand configuration side The directional transport ability plays a certain role in oil and gas diversion and influences enrichment strata, ranking as 2. See Table 1 for the weight coefficients of each influencing factor.
表1Table 1
S3、建立论域集U中各影响因素的隶属度函数，计算隶属度评价值。S3. Establish the membership degree function of each influencing factor in the universe of discourse set U, and calculate the membership degree evaluation value.
需要说明的是，影响因素的隶属度函数分为离散型隶属度函数和连续型隶属度函数。对于定性判别方法来说，建立离散型隶属度函数，即分段式函数。对于定量判别方法来说，建立连续型隶属度函数，为了计算简单，连续型隶属度函数一般建立线性式。It should be noted that the membership function of influencing factors is divided into discrete membership function and continuous membership function. For the qualitative discriminant method, a discrete membership function, that is, a piecewise function, is established. For the quantitative discriminant method, a continuous membership function is established. For the sake of simple calculation, the continuous membership function is generally established in a linear form.
具体地，计算隶属度评价值的具体方法为：Specifically, the specific method for calculating the evaluation value of the membership degree is as follows:
对于影响因素断层输导能力，断层输导能力参数Tv≥75时，断层输导能力与油气储量丰度具有正相关性，而断层输导能力参数Tv<75时，断层输导能力若，无油气聚集，因此，建立分段式函数(参见图2)，则其隶属度函数表示为：For the influencing factors of fault transport capacity, when the fault transport capacity parameter Tv ≥ 75, the fault transport capacity has a positive correlation with the abundance of oil and gas reserves, and when the fault transport capacity parameter Tv < 75, the fault transport capacity is , there is no oil and gas accumulation, therefore, a piecewise function (see Fig. 2) is established, and its membership function is expressed as:
式中，B1为断层输导能力隶属度评价值；Tv为断层输导能力参数；B为油源断层对应的油气供应量，其中，主油源断层对应的油气供应量赋值为0.466，分支断层对应的油气供应量赋值为0.392，次油源断层对应的油气供应量赋值为0.142；v为断层活动速率，单位：m/Ma；θ为断层走向与区域主压应力方向的夹角，单位：°；β为断层倾角，单位：°；L为断层延伸长度，单位：km；ΔH为馆陶组下段断接厚度，单位：m。In the formula, B1 is the evaluation value of the membership degree of the fault transport capacity; Tv is the parameter of the fault transport capacity; B is the oil and gas supply corresponding to the oil source fault, in which, the assigned value of the oil and gas supply corresponding to the main oil source fault is 0.466, The assignment of oil and gas supply corresponding to branch faults is 0.392, and the assignment of oil and gas supply corresponding to sub-source faults is 0.142; v is the fault activity rate, unit: m/Ma; θ is the angle between the fault strike and the direction of the regional principal compressive stress, Unit: °; β is the dip angle of the fault, unit: °; L is the extension length of the fault, unit: km; ΔH is the disconnection thickness of the lower member of the Guantao Formation, unit: m.
对于影响因素断层侧向封堵能力，采用泥岩涂抹程度SGR作为评价标准，SGR≥45％时，断层基本为封闭断层，SGR<45％时，断层为开启断层，因此，建立分段式函数(参见图3)，则其隶属度函数表示为：For the lateral sealing capacity of the influencing factors, the mudstone smear degree SGR is used as the evaluation standard. When the SGR is ≥ 45%, the fault is basically a closed fault, and when the SGR is < 45%, the fault is an open fault. Therefore, a piecewise function ( See Figure 3), then its membership function is expressed as:
式中，B2为断层侧向封堵能力隶属度评价值，SGR为泥岩涂抹程度。In the formula,B2 is the evaluation value of the membership degree of the lateral sealing ability of the fault, and SGR is the mudstone smear degree.
对于影响因素断-砂配置侧向输导能力，断-砂配置侧向输导能力参数Th≥0.4时，油气钻探主要为油层、油干层；Th＜0.4时，以水层为主。因断-砂配置侧向输导能力隶属度函数只有界限值的确定，缺乏定量关系，所以按照定性关系采用离散型函数，则其隶属度函数表示为：As for the influencing factors of fault-sand configuration lateral conductivity, when the fault-sand configuration lateral conductivity parameter Th≥0.4, oil and gas drilling is mainly oil layer and dry oil layer; when Th<0.4, it is mainly water layer. Since the membership function of the lateral conductivity of the fault-sand configuration only has a limit value and lacks a quantitative relationship, the discrete function is adopted according to the qualitative relationship, and its membership function is expressed as:
式中，B3为断-砂配置侧向输导能力隶属度评价值，Th为断-砂配置侧向输导能力参数。In the formula, B3 is the evaluation value of the membership degree of the lateral transport capacity of the fault-sand configuration, and Th is the parameter of the lateral transport capacity of the fault-sand configuration.
通过上述公式(4)、公式(6)、公式(7)即可计算出论域集U中各影响因素的隶属度评价值。The evaluation value of the membership degree of each influencing factor in the domain set U can be calculated by the above formula (4), formula (6) and formula (7).
S4、根据步骤S2确定的权重系数和步骤S3得到的隶属度评价值建立断层圈闭含油性的隶属度评价值取值标准表及与其对应的隶属度评价值矩阵，利用加权平均法通过公式(8)计算目标断层圈闭含油性的综合评价值C，根据综合评价值C评价断层圈闭含油性，公式(8)表示为：S4. According to the weight coefficient determined in step S2 and the evaluation value of the degree of membership obtained in step S3, the standard table of evaluation value of the evaluation value of the degree of membership of the fault trap oiliness and the matrix of the evaluation value of the degree of membership corresponding to it are established, and the weighted average method is used to pass the formula ( 8) Calculate the comprehensive evaluation value C of the oiliness of the target fault trap, and evaluate the oiliness of the fault trap according to the comprehensive evaluation value C, the formula (8) is expressed as:
式中，m为影响因素个数；Bi为第i个影响因素的隶属度评价值；ani为第i个影响因素的权重系数。In the formula, m is the number of influencing factors; Bi is the membership degree evaluation value of the i-th influencing factor; ani is the weight coefficient of the i-th influencing factor.
具体地，根据不同影响因素的权重系数和隶属度评价值建立的断层圈闭含油性的隶属度评价值取值标准表参见表2。Specifically, see Table 2 for the standard table of the evaluation value of the membership degree of fault trap oiliness established according to the weight coefficients of different influencing factors and the evaluation value of the degree of membership.
表2Table 2
本发明上述断层圈闭含油性的定量评价方法，充分考虑了断裂对油气的控制作用，具体表现为断层输导能力控制油气充注与分布、断层侧向封堵能力影响油气富集程度、断-砂配置侧向输导能力为油气分流提供条件3个方面。在将影响因素量化的过程中，缩减了评价内容，且提升了权重系数确定方法与相关隶属度函数构建方法的精度。简单易行，能适用于多地区的断圈评价，具有精准、可靠、高效的特点，便于在油田勘探中推广，对断层油气藏的勘探具有指导借鉴意义。The method for quantitatively evaluating the oiliness of fault traps in the present invention fully considers the controlling effect of faults on oil and gas. - The lateral transport capacity of the sand configuration provides conditions for oil and gas diversion in three aspects. In the process of quantifying the influencing factors, the evaluation content is reduced, and the accuracy of the weight coefficient determination method and the related membership function construction method is improved. It is simple and easy to implement, can be applied to the evaluation of fault circles in multiple regions, has the characteristics of accuracy, reliability and high efficiency, is easy to popularize in oil field exploration, and has guiding and reference significance for the exploration of fault oil and gas reservoirs.
为了更清楚详细地介绍本发明实施例所述断层圈闭含油性的定量评价方法，以下结合具体地实施例对本发明上述方法作出进一步说明。In order to introduce the method for quantitatively evaluating the oiliness of fault traps described in the embodiment of the present invention in more detail, the above-mentioned method of the present invention will be further described below in conjunction with specific examples.
实施例：桩海地区位于济阳坳陷的东北部，是沾化凹陷与黄河口凹陷分界隆起带的一部分，主要发育沙三段和沙一段两套烃源岩，以新近系馆陶组为主力产层。同时，研究区经历了多幕运动的改造，具有复杂的油源断裂特征，产生了多种断层圈闭。不同断层圈闭含油性差异影响了新近系油气的空间分布，因此，选取济阳坳陷桩海地区的新近系作为研究区，利用模糊数学方法，量化断裂对油气控制作用的影响因素，判断断层圈闭的含油气性。其步骤如下：Example: The Zhuanghai area is located in the northeast of the Jiyang Depression, and is part of the boundary uplift zone between the Zhanhua Sag and the Huanghekou Sag. There are mainly two sets of source rocks in the Sha 3 Member and Sha 1 Member, with the Neogene Guantao Formation as the main force production layer. At the same time, the study area has experienced multi-episode movement reformation, with complex oil-source fault characteristics, resulting in a variety of fault traps. The difference in oil content of different fault traps affects the spatial distribution of Neogene oil and gas. Therefore, the Neogene in the Zhuanghai area of Jiyang Depression was selected as the research area, and the fuzzy mathematical method was used to quantify the factors affecting the control of faults on oil and gas, and to judge the faults. The oil and gas of the trap. The steps are as follows:
选取桩海地区断层附近的12口典型井，通过地震资料、测录井等确定各井断层圈闭，利用上述断层圈闭含油性的定量评价方法定量评价各断层圈闭与含油气性关系(参见图4)。Select 12 typical wells near the faults in the Zhuanghai area, determine the fault traps of each well through seismic data, mud logging, etc., and quantitatively evaluate the relationship between each fault trap and oil-bearing property by using the above quantitative evaluation method for oil-bearing properties of fault traps ( See Figure 4).
设综合评价值C为评价集合，即C＝(c1,c2,...,c12)T，在确定综合评价值C的影响因素权重系数的基础上，根据断圈含油性的隶属度取值标准表，统计C的影响因素相关参数值ci,i＝1,2,...,12(参见表3)，建立对应的隶属度矩阵(参见表4)。Let the comprehensive evaluation value C be the evaluation set, that is, C=(c1 ,c2 ,...,c12 )T , on the basis of determining the weight coefficient of the influencing factors of the comprehensive evaluation Degree value standard table, statistics of C's influence factor related parameter values ci , i=1,2,...,12 (see Table 3), and establish corresponding membership degree matrix (see Table 4).
表3table 3
表4Table 4
利用加权平均法计算综合评价值C，即：Use the weighted average method to calculate the comprehensive evaluation value C, namely:
C＝(B1,B2,...,B12)T(an1,an2,...,an12)＝(c1,c2,...,c12)TC=(B1 ,B2 ,...,B12 )T (an1 ,an2 ,...,an12 )=(c1 ,c2 ,...,c12 )T
通过计算得到桩海地区12口井的综合评价值C值，当综合评价值C大于0.8时，断层圈闭的油气丰度大于100×104t/km2；当综合评价值C值小于0.8且大于0.6时，断层圈闭的油气丰度小于100×104t/km2；当综合评价值C值小于0.6时，油气钻探多显示水层，其具体评价结果参见表5。该评价结果与实际井情况较吻合，说明本发明上述定量评价方法在桩海地区具有适用性。The comprehensive evaluation value C of the 12 wells in the Zhuanghai area was obtained by calculation. When the comprehensive evaluation value C is greater than 0.8, the oil and gas abundance of the fault trap is greater than 100×104 t/km2 ; when the comprehensive evaluation value C is less than 0.8 And when it is greater than 0.6, the oil and gas abundance of fault traps is less than 100×104 t/km2 ; when the comprehensive evaluation value C is less than 0.6, oil and gas drilling often reveals water layers. The specific evaluation results are shown in Table 5. The evaluation result is in good agreement with the actual well situation, which shows that the above-mentioned quantitative evaluation method of the present invention has applicability in the Zhuanghai area.
表5table 5
上述实施例用来解释本发明，而不是对本发明进行限制，在本发明的精神和权利要求的保护范围内，对本发明做出的任何修改和改变，都落入本发明的保护范围。The above-mentioned embodiments are used to explain the present invention, rather than to limit the present invention. Within the spirit of the present invention and the protection scope of the claims, any modification and change made to the present invention will fall into the protection scope of the present invention.
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| CN202110988746.8ACN113671575B (en) | 2021-08-26 | 2021-08-26 | Quantitative evaluation method for fault trap oiliness |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118997746A (en)* | 2023-05-18 | 2024-11-22 | 中国石油化工股份有限公司 | A method for quantitatively evaluating oil and gas charging capacity using oil and gas migration and accumulation coefficient |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016041189A1 (en)* | 2014-09-19 | 2016-03-24 | 杨顺伟 | Method for evaluating shale gas reservoir and seeking desert area |
| CN105469159A (en)* | 2015-11-19 | 2016-04-06 | 中国石油大学(华东) | Method capable of realizing quantitative prediction on favorable oil gas accumulation area |
| CN108343430A (en)* | 2017-07-21 | 2018-07-31 | 中国石油大学胜利学院 | Fault sealing property fuzzy mathematics comprehensive quantitative evaluation method |
| CN110321595A (en)* | 2019-06-06 | 2019-10-11 | 中国石油大学(华东) | The Fault closeness evaluation method of static factor of merit is extracted in a kind of well logging |
| CN112282725A (en)* | 2020-11-03 | 2021-01-29 | 中国石油天然气股份有限公司 | Staggered seam-laying design method for horizontal well |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016041189A1 (en)* | 2014-09-19 | 2016-03-24 | 杨顺伟 | Method for evaluating shale gas reservoir and seeking desert area |
| CN105469159A (en)* | 2015-11-19 | 2016-04-06 | 中国石油大学(华东) | Method capable of realizing quantitative prediction on favorable oil gas accumulation area |
| CN108343430A (en)* | 2017-07-21 | 2018-07-31 | 中国石油大学胜利学院 | Fault sealing property fuzzy mathematics comprehensive quantitative evaluation method |
| CN110321595A (en)* | 2019-06-06 | 2019-10-11 | 中国石油大学(华东) | The Fault closeness evaluation method of static factor of merit is extracted in a kind of well logging |
| CN112282725A (en)* | 2020-11-03 | 2021-01-29 | 中国石油天然气股份有限公司 | Staggered seam-laying design method for horizontal well |
| Title |
|---|
| 断层封闭模糊评判中权重系数及隶属函数的分析应用;李储华 等;复杂油气藏;第2卷(第1期);5-9+13* |
| Publication number | Publication date |
|---|---|
| CN113671575A (en) | 2021-11-19 |
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