CN111734406A - Characterization method of plane energy difference of single sand layer in front - Google Patents
Characterization method of plane energy difference of single sand layer in front Download PDFInfo
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Abstract
Description
技术领域technical field
本发明涉及油田储层研究技术领域,特别涉及前缘单砂层平面能量差异表征方法。The invention relates to the technical field of oilfield reservoir research, in particular to a method for characterizing the plane energy difference of a single sand layer at the front.
背景技术Background technique
前缘单砂层是指在垂向上已经细分到最小沉积单元,具有层位单一稳定,平面砂体席状分布,可追溯特点的砂层。是油田二次和三次加密水驱开发的主要对象,经过多年的注水开发,虽然整体动用厚度达到82.4%,但是进入高含水期后,表面看单层之间接触关系较好,但受效结果差异较大,砂体平面渗流规律认识不清,增大了剩余油分析和措施调整的难度。在目前精准开发的要求下,针对前缘单砂层,提供一种能够反映平面渗流差异的表征方法是非常重要的。The single sand layer on the front edge refers to the sand layer that has been subdivided into the smallest sedimentary unit in the vertical direction, and has the characteristics of single stable layer, sheet-like distribution of flat sand bodies, and traceability. It is the main target for the secondary and tertiary infill water flooding development of the oilfield. After years of water injection development, although the overall production thickness reaches 82.4%, after entering the high water cut period, the contact relationship between the single layers is good on the surface, but the effective results The difference is large, and the sand body plane seepage law is unclear, which increases the difficulty of remaining oil analysis and adjustment of measures. Under the current requirements of precise development, it is very important to provide a characterization method that can reflect the difference in plane seepage for a single sand layer at the front.
中国专利CN201310517846.8公开了一种“薄单砂层厚度预测方法”,是利用三维地震提取的平均反射强度属性简单、快捷定量描述薄单砂层厚度的有效预测方法,包括地震属性的优选、确定提取属性的时窗范围、提取平均反射强度属性并归一化处理、建立平均反射强度值与单砂层厚度的关系式、单砂层厚度计算及极值校正、编制单砂层厚度图。提高了薄单砂层预测的效率和有效性,使得单砂层厚度预测吻合率大于80%。Chinese patent CN201310517846.8 discloses a "thin single sand layer thickness prediction method", which is an effective prediction method for simple, fast and quantitative description of thin single sand layer thickness using the average reflection intensity attribute extracted by 3D seismic, including the optimization of seismic attributes, Determine the time window range of the extracted attributes, extract the average reflection intensity attribute and normalize it, establish the relationship between the average reflection intensity value and the thickness of a single sand layer, calculate the thickness of a single sand layer and correct its extreme value, and compile a thickness map of a single sand layer. The efficiency and effectiveness of the prediction of thin single sand layer are improved, and the coincidence rate of single sand layer thickness prediction is greater than 80%.
但发现相关技术至少存在以下问题:主要侧重于井震结合预测薄单砂层厚度,解决的是钻井提高单砂层砂岩钻遇率的问题,而对于薄层砂大面积席状发育区块,进入高含水后期由于平面渗流能量的变化,导致受效不均衡矛盾突出问题没有解决。However, it is found that the related technology has at least the following problems: it mainly focuses on the combination of well-seismic and prediction of the thickness of a thin single sand layer, and solves the problem of improving the drilling rate of single sand layer sandstone by drilling. In the later stage of high water cut, due to the change of plane seepage energy, the outstanding problem of unbalanced effect has not been solved.
发明内容SUMMARY OF THE INVENTION
本发明所要解决的技术问题是克服背景技术中存在的对于薄层砂大面积席状发育区块进入高含水后期由于平面渗流能量的变化导致受效不均衡矛盾突出的问题,而提供一种前缘单砂层平面能量差异表征方法,该前缘单砂层平面能量差异表征方法,提高了对前缘单砂层平面非均质特征的认识,适用于中低渗透率储层连通关系分析。The technical problem to be solved by the present invention is to overcome the problem existing in the background technology that when the thin-bed sand large-area sheet-like development block enters the later stage of high water cut due to the change of the plane seepage energy, the effect is not balanced and the contradiction is prominent, and a pre- The method for characterizing the plane energy difference of a single sand layer at the front edge improves the understanding of the plane heterogeneity characteristics of a single sand layer at the front edge, and is suitable for the analysis of the connectivity relationship of medium and low permeability reservoirs.
本发明解决其问题可通过如下技术方案来达到:该前缘单砂层平面能量差异表征方法,包括以下步骤:The present invention solves its problems and can be achieved through the following technical solutions: the method for characterizing the plane energy difference of a single sand layer on the front edge includes the following steps:
1)、收集沉积单元分层界限数据库、井位坐标数据库、井斜数据、分层数据库及生产井测井曲线矢量化数据,利用油藏自动绘图软件,加载数据,通过分层界限相类型及连通关系计算,软件自动生成各沉积单元随机相带图;1) Collect the sedimentary unit layered boundary database, well position coordinate database, well deviation data, layered database and production well logging curve vectorization data, use the reservoir automatic drawing software, load the data, and pass the layered boundary facies type and Connectivity calculation, the software automatically generates random facies zone diagram of each sedimentary unit;
2)、在步骤⑴沉积单元随机相带图基础上,将平面上薄层砂大面积发育呈席状分布,具备能量衰减变化的沉积单元相带底图挑选出来,利用取心井岩心综合图,分析岩性及测井曲线差异,建立能量微相测井模式,利用步骤⑴中分层数据库做有效厚度及渗透率直方图,结合能量微相测井模式,建立能量微相分类标准;2) On the basis of the random facies zone map of the depositional unit in step (1), select the facies zone base map of the depositional unit that has a large area of thin sand on the plane with sheet-like distribution and has energy attenuation changes, and use the comprehensive core map of the coring well. , analyze the difference of lithology and logging curve, establish the energy microfacies logging mode, use the layered database in step (1) to make the effective thickness and permeability histogram, and combine the energy microfacies logging mode to establish the energy microfacies classification standard;
3)利用步骤⑵中能量微相分类标准,在油藏自动绘图软件中,定义沉积微相,将各能量微相用不同的颜色表征,重新生成具有能量微相变化的沉积单元随机相带图;3) Using the energy microfacies classification standard in step (2), in the automatic reservoir mapping software, define depositional microfacies, characterize each energy microfacies with different colors, and regenerate the random facies band diagram of the deposition unit with energy microfacies changes ;
4)在步骤⑶能量微相变化的沉积单元随机相带图基础上,结合砂体分布规模、物源方向、测井曲线形态,人机交互绘制薄层砂具有平面能量衰减变化的的相带图,归类为四种砂体类型。4) On the basis of the random facies zone diagram of the depositional unit with energy microfacies change in step (3), combined with the sand body distribution scale, provenance direction, and log curve shape, human-computer interaction draws the facies zone of thin-bed sand with plane energy attenuation changes. Figure, categorized into four sand body types.
所述步骤⑵建立能量微相测井模式的方法为利用取心井岩心综合图,分析岩性特征(包括粒度、泥质含量变化);分析测井曲线特征(包括微电极曲线幅度差及幅值起伏变化,自然电位负异常值及形态变化),根据岩性及测井曲线差异,建立能量微相测井模式。The method for establishing the energy microfacies logging mode in the step (2) is to use the comprehensive core map of the coring well to analyze the lithological characteristics (including changes in grain size and shale content); value fluctuation, natural potential negative abnormal value and morphological change), according to the difference of lithology and logging curve, the energy microfacies logging mode is established.
所述步骤⑵中能量微相测井模式包括:坝核部、坝主体、坝边部,残留水下分流河道、主体一类席状砂、主体二类席状砂、非主体席状砂、表外储层共8种微相模式。The energy microfacies logging mode in the step (2) includes: dam core, dam main body, dam side, residual underwater distributary channel, main body type I sheet sand, main main type II sheet sand, non-main body sheet sand, There are 8 microfacies modes in the off-surface reservoirs.
所述步骤⑵中建立能量微相分类标准方法为利用步骤⑴中分层数据库统计单砂层岩性参数即有效厚度、物性参数即渗透率分布范围,做直方图,确定各能量微相分布区间,结合能量微相测井模式,分别建立不同砂体类型的能量微相分类标准;The method for establishing the energy microfacies classification standard in the step (2) is to use the layered database in step (1) to count the lithological parameters of a single sand layer, namely the effective thickness, and the physical property parameters, that is, the permeability distribution range, make a histogram, and determine the distribution interval of each energy microfacies. , combined with the energy microfacies logging mode, to establish the energy microfacies classification standards for different sand body types respectively;
所述步骤⑷中具有平面能量衰减变化的四种砂体类型包括河控含残留水下河道型、河控浪控过渡型、浪控远砂坝型、浪控滨外坝型。The four types of sand bodies with plane energy attenuation change in the step (4) include the river-controlled and residual underwater channel type, the river-controlled wave-controlled transition type, the wave-controlled remote sand bar type, and the wave-controlled coastal and outer bar type.
本发明与上述背景技术相比较可具有如下有益效果:Compared with the above-mentioned background technology, the present invention can have the following beneficial effects:
1、本发明建立了能量微相分类标准。前缘单砂层常规沉积微相分类,是按照有效厚度级别分为砂坝、主体席状砂、非主体席状砂、表外储层四种沉积微相。而本发明沉积微相分类方法,充分考虑沉积环境背景,根据曲线形态和厚度、渗透率参数分布范围,将沉积微相按照能量变化进一步细化,确定分级标准。浪控型砂坝进一步细分为坝核部、坝主体、坝边部,河控型主体席状砂进一步细分出残留水下分流河道微相,河控浪控过渡型主体席状砂细分为主体一类席状砂、主体二类席状砂。分类更精细和科学,充分反映了平面岩性物性差异,能够实现判断沉积微相依据定量,可操作性强。1. The present invention establishes the energy microphase classification standard. The conventional sedimentary microfacies of a single sand layer in the front are classified into four types of sedimentary microfacies: sand bar, main sheet sand, non-main sheet sand, and off-surface reservoir according to the effective thickness. The sedimentary microfacies classification method of the present invention fully considers the sedimentary environment background, and further refines the sedimentary microfacies according to the energy change according to the curve shape, thickness and permeability parameter distribution range, and determines the classification standard. The wave-controlled sand bar is further subdivided into dam core, dam main body, and dam edge. The river-controlled main body sheet sand is further subdivided into residual underwater distributary channel microfacies, and the river-controlled wave-controlled transition main body sheet sand is subdivided. It is the first-class sheet-like sand for the main body and the second-class sheet-like sand for the main body. The classification is more precise and scientific, which fully reflects the differences in plane lithology and physical properties, and can realize the quantitative basis for judging sedimentary microfacies, with strong operability.
2、本发明绘制了具有平面能量衰减变化的四种砂体类型相带图,与常规做法相比,常规做法是软件自动生成各沉积单元随机相带图,没有结合测井曲线特征,缺少物源方向性,平面非均质特征不清晰。而本发明是利用能量微相分类标准,平面将各能量微相用不同的颜色表征,结合砂体分布规模、物源方向、测井曲线形态,人机交互绘制,更有利于识别出水驱优势通道及变差带,井间连通程度更加清楚。2. The present invention draws four types of sand body facies diagrams with plane energy attenuation changes. Compared with the conventional method, the conventional method is that the software automatically generates a random facies diagram of each sedimentary unit, without the combination of logging curve characteristics and lack of material. Source directionality, plane inhomogeneity features are not clear. In the present invention, the energy microfacies classification standard is used, each energy microfacies is represented by different colors on the plane, combined with the sand body distribution scale, provenance direction, logging curve shape, and human-computer interaction drawing, which is more conducive to identifying the advantages of water flooding The channel and variation zone, the degree of connectivity between wells is clearer.
3、根据本发明研究成果,总结出剩余油类型,制定了挖潜对策。3. According to the research results of the present invention, the types of remaining oil are summed up, and potential tapping countermeasures are formulated.
应用研究成果,对前缘单砂层呈大面积席状分布,且具备能量变化的薄层砂体,易形成平面渗流差异型剩余油,采取堵水、压裂及平面调整等对策,优化渗流方向。Applying the research results, it is easy to form the residual oil of differential plane seepage type for the thin layer sand body with large area sheet distribution and energy change of single sand layer in the front. direction.
附图说明Description of drawings
附图1是本发明实施例中步骤⑴中软件自动生成各沉积单元随机相带图;
附图2是本发明实施例中步骤⑵中具备能量衰减变化的沉积单元相带底图;
附图3是本发明实施例中步骤⑵中生产井连井剖面对比图;Accompanying
附图4是本发明实施例中步骤⑵中能量微相测井模式图;Accompanying
附图5是本发明实施例中步骤⑵中浪控滨外坝砂体类型有效厚度分布比例直方图;Accompanying drawing 5 is the histogram of the distribution ratio of the effective thickness of the sand body type in the step (2) in the middle wave control coastal outer bar in the embodiment of the present invention;
附图6是本发明实施例中步骤⑵中浪控滨外坝砂体类型渗透率分布比例直方图;Accompanying drawing 6 is the histogram of the permeability distribution ratio of the sand body type in the step (2) of the middle wave-controlled coastal outer bar in the embodiment of the present invention;
附图7是本发明实施例中步骤⑵中具备能量衰减变化的砂体类型内部能量微相分类标准;Accompanying drawing 7 is the classification standard of internal energy microfacies of sand body type with energy attenuation change in step (2) in the embodiment of the present invention;
附图8是本发明实施例步骤⑶中能量微相软件沉积相类型设置图;Accompanying drawing 8 is the setting diagram of energy microphase software deposition phase type in step (3) of the embodiment of the present invention;
附图9是本发明实施例中步骤⑷中绘制完成的具有能量变化的四种砂体类型图;Accompanying drawing 9 is the four kinds of sand body type diagrams with energy variation drawn in step (4) in the embodiment of the present invention;
附图10是本发明实施例步骤⑷中具有能量变化形成的平面渗流差异型剩余油采取对策的分析图。Fig. 10 is an analysis diagram of countermeasures taken for residual oil of plane seepage differential type formed by energy change in step (4) of the embodiment of the present invention.
具体实施方式:Detailed ways:
下面结合附图及实施例将对本发明作进一步说明:Below in conjunction with accompanying drawing and embodiment, the present invention will be further described:
实施例1:Example 1:
使用本发明所述的前缘单砂层平面能量差异表征方法,以大庆油田杏十区纯油区东部为例,说明本发明方法的实施过程。Using the method for characterizing the plane energy difference of a single front sand layer according to the present invention, the implementation process of the method of the present invention is described by taking the eastern part of the pure oil area of Xingshi District, Daqing Oilfield as an example.
步骤⑴收集沉积单元分层界限数据库、井位坐标数据库、井斜数据、分层数据库及生产井测井曲线矢量化数据,利用GPTmap油藏自动绘图软件,加载数据,通过分层界限相类型及连通关系计算,软件自动生成各沉积单元随机相带图(见附图1);Step (1) Collect sedimentary unit layer boundary database, well position coordinate database, well deviation data, layer database and production well logging curve vector data, use GPTmap oil reservoir automatic drawing software, load the data, and pass the layer boundary facies type and For the calculation of the connectivity relationship, the software automatically generates a random phase diagram of each deposition unit (see Figure 1);
步骤⑵在步骤⑴沉积单元随机相带图基础上,将平面上薄层砂大面积发育呈席状分布,具备能量衰减变化的沉积单元相带底图挑选出来(见附图2)。例如:杏十区纯油区东部垂向发育59个沉积单元,挑选出具备能量衰减变化的沉积单元相带底图是30个。建立生产井连井剖面(见附图3),分析测井曲线形态变化,建立能量微相测井模式(见附图4),包括坝核部、坝主体、坝边部,残留水下分流河道、主体一类席状砂、主体二类席状砂、非主体席状砂、表外储层共8种微相模式。利用步骤⑴中分层数据库,统计单砂层岩性参数即有效厚度、物性参数即渗透率分布范围,做直方图,确定各能量微相分布区间,结合能量微相测井模式,建立能量微相分类标准。Step (2) On the basis of the random facies zone map of the sedimentary unit in step (1), select the bottom map of the sedimentary unit facies zone that has a large area of thin sand on the plane and is distributed in a sheet-like manner and has energy attenuation changes (see Figure 2). For example, there are 59 sedimentary units vertically developed in the eastern part of the pure oil area of Xingshi District, and 30 sedimentary units with energy attenuation changes are selected in the bottom map of the facies belt. Establish a production well connected well profile (see Figure 3), analyze the morphological changes of the logging curve, and establish an energy microphase logging mode (see Figure 4), including the dam core, the dam body, the dam side, and the residual underwater diversion There are 8 microfacies modes in river channel, main body type I sheet sand, main body type II sheet sand, non-main body sheet sand, and off-surface reservoirs. Using the layered database in step (1), count the lithological parameters of a single sand layer, namely the effective thickness, and the physical property parameters, namely the distribution range of permeability, make a histogram, determine the distribution interval of each energy microfacies, and combine the energy microfacies logging mode to establish the energy microfacies Phase classification criteria.
以浪控滨外坝发育的砂体类型为例(见附图5、附图6),统计杏十区东部500口井S215a沉积单元的有效厚度及渗透率,做直方图,从分布特点看,有效厚度集中发育在1.5m至3.0m之间,比例为63.58%。其中,有效厚度≥2.5m以上的单砂层占到22.3%,曲线形态具有坝核部特征,渗透率>=230mD;有效厚度在(2.5m~2.0m]的单砂层占到34.6%,曲线形态具有坝主体特征,渗透率在180~230mD之间;有效厚度在(2.0m~1.5m]的单砂层占到28.9%,曲线形态具有坝边部特征,渗透率在120~180mD之间。主体席状砂、非主体席状砂、表外储层按照《大庆油田单砂层沉积相带图编制技术规范》厚度划分标准,参考渗透率直方图分布范围,确定主体席状砂有效厚度在(1.5m-0.5m]之间,渗透率<120mD;非主体席状砂有效厚度在(0.5m-0)之间,渗透率<50mD;表外储层有效厚度等于0。通过新老沉积微相分类方法对比,将原来的砂坝和主体席状砂微相按照能量微相测井模式,结合有效厚度及渗透率分布区间,进一步细分为坝核部、坝主体、坝边部、主体席状砂。分类更精细和科学,充分反映了平面岩性物性差异,能够实现判断沉积微相依据定量,可操作性强。其他砂体类型按照以上方法以此类推,确定了研究区块具备能量衰减变化的砂体类型内部能量微相分类标准(见附图7)。说明:杏十区东部只有浪控滨外坝砂体类型生产井渗透率数值差异较大,而其他砂体类型生产井渗透率数值普遍偏低,区分不开,因此在该区块其他砂体类型分类只是参考了能量微相测井模式及有效厚度分布区间。Taking the types of sand bodies developed by the wave-controlled coastal outer bar as an example (see Figure 5 and Figure 6), the effective thickness and permeability of the S215a sedimentary unit in 500 wells in the east of Xingshi District were calculated, and a histogram was made to see from the distribution characteristics. , the effective thickness is concentrated between 1.5m and 3.0m, and the proportion is 63.58%. Among them, the single sand layer with an effective thickness ≥ 2.5m accounts for 22.3%, the curve shape has the characteristics of the dam core, and the permeability is >= 230mD; The curve shape has the characteristics of the main body of the dam, and the permeability is between 180-230mD; the single sand layer with an effective thickness of (2.0m-1.5m) accounts for 28.9%, and the curve shape has the characteristics of the dam side, and the permeability is between 120-180mD. The main sheet sand, non-main sheet sand, and off-surface reservoirs are divided according to the thickness division standard of "Technical Specifications for the Preparation of Sedimentary Facies Belt Maps for Single Sand Layers in Daqing Oilfield", referring to the distribution range of the permeability histogram, to determine that the main sheet sand is effective. The thickness is between (1.5m-0.5m], and the permeability is <120mD; the effective thickness of non-main body sheet sand is between (0.5m-0), and the permeability is <50mD; the effective thickness of the surface reservoir is equal to 0. Through the new Compared with the old sedimentary microfacies classification methods, the original sand bar and the main sheet sand microfacies are further subdivided into the core of the bar, the main body of the bar, and the edge of the bar according to the energy microfacies logging mode, combined with the effective thickness and permeability distribution interval. Partial and main sheet sand. The classification is more precise and scientific, fully reflecting the differences in plane lithology and physical properties, and it can realize the quantitative basis for judging sedimentary microfacies, and has strong operability. Other sand body types are determined according to the above methods and so on. The block has the classification standard of internal energy microfacies of sand body types with energy attenuation changes (see Figure 7). Note: In the eastern part of Xingshi District, only the production wells of the wave-controlled coastal outer bar sand body type have large differences in permeability, while other sand bodies have large differences in permeability values. The permeability values of production wells of body type are generally low and indistinguishable, so the classification of other sand body types in this block only refers to the energy microfacies logging mode and the effective thickness distribution interval.
步骤⑶利用步骤⑵中能量微相分类标准,在GPTmap软件中,定义沉积微相,将各能量微相用不同的颜色表征。以杏十区东部区块为例,首先根据分类标准进行沉积相设置。在GPTmap软件中,选择菜单栏中的“设置”—“沉积相设置”—“沉积相类型”,设置出九类能量微相—坝核部A,坝主体B、坝边部C,残留水下分流河道D,主体一类席状砂E,主体二类席状砂F,非主体席状砂G,表外储层H,尖灭J,设置每种能量微相颜色(见附图8),重新生成具有能量微相变化的沉积单元随机相带图。Step (3) Using the energy microphase classification standard in step (2), in the GPTmap software, define the deposition microphase, and characterize each energy microphase with different colors. Taking the eastern block of Xingshi District as an example, the sedimentary facies is firstly set according to the classification criteria. In GPTmap software, select "Settings" - "Sedimentary Facies Settings" - "Sedimentary Facies Type" in the menu bar, and set nine types of energy microfacies - dam core A, dam main body B, dam side C, residual water Lower distributary channel D, main body type I sheet sand E, main body type II sheet sand F, non-main body sheet sand G, off-surface reservoir H, pinch-out J, set the color of each energy microfacies (see Figure 8). ) to regenerate the random phase band diagram of the deposition unit with energy microphase changes.
步骤⑷在步骤⑶能量微相变化的沉积单元随机相带图基础上,首先根据能量微相测井模式,对软件生成的能量微相进行单井判相校正,然后结合分布规模、物源方向,将同一微相按物源方向进行组合,勾绘出不同微相类型相带边界,人机交互绘制薄层砂具有平面能量衰减变化的的相带图,归类为四种砂体类型,包括河控含残留水下河道型、河控浪控过渡型、浪控远砂坝型、浪控滨外坝型(见附图9)。Step (4) On the basis of the random facies zone diagram of the depositional unit of the energy microfacies change in step (3), first, according to the energy microfacies logging mode, the energy microfacies generated by the software is subjected to single-well phase judgment correction, and then combined with the distribution scale and provenance direction. , combine the same microfacies according to the provenance direction, delineate the facies zone boundaries of different microfacies types, and draw the facies zone diagrams of thin-bed sand with plane energy attenuation changes through human-computer interaction, which are classified into four types of sand bodies, Including the river-controlled and residual underwater channel type, the river-controlled wave-controlled transition type, the wave-controlled far sand bar type, and the wave-controlled coastal and outer bar type (see Figure 9).
由于以前常规方法没有按照能量变化进行研究,表面看比较均质的砂体,实际非均质性复杂,动态受效不均衡矛盾突出。杏十区东部区块应用前缘单砂层平面能量差异表征方法,对单砂体发育规模大、由于能量变化形成的平面渗流差异型剩余油,采取堵水、压裂及平面调整等对策,优化渗流方向,改善了开发效果。Because the previous conventional methods did not study the energy change, the sand body that appears to be relatively homogeneous on the surface has complex heterogeneity in reality, and the dynamic effect is not balanced and the contradiction is prominent. In the eastern block of Xingshi District, the method of plane energy difference characterization of a single sand layer in the front is applied, and for the residual oil of the plane seepage difference type due to the large-scale development of a single sand body and a plane seepage difference formed by energy changes, countermeasures such as water plugging, fracturing and plane adjustment are adopted. Optimize the seepage direction and improve the development effect.
以杏十区纯油区东部萨II15a沉积单元为例(见附图10),该单元属于浪控滨外坝型砂体,解剖前,杏10-4-更水44井组砂坝连片分布,表面看连通无差别,注采完善,但从连通油井含水看,有差异。应用前缘单砂层平面能量差异表征方法,重新绘制能量变化相带图后,砂体物源方向顺着西北-东南方向,顺物源西北方向,连通较好,存在优势通道,垂直物源方向,油水井之间存在砂体变差部位,平面渗流差异明显。对该层水驱优势方向高含水的杏10-3-更丙43井实施堵水、杏10-5-丙43调小参缩小生产压差。实施后与水井之间存在砂体变差遮挡的杏10-5-丙43、杏10-5-丙44井受效明显,渗流方向得到改善,低效循环方向得到控制,含水下降了0.3个百分点。Taking the Sa II15a sedimentary unit in the eastern part of the pure oil area in the
应用前缘单砂层平面能量差异表征方法,对前缘单砂层呈大面积席状分布,且具备能量变化的薄层砂体,易形成平面渗流差异型剩余油,采取堵水、压裂及平面调整等对策,优化渗流方向,该区块拓展潜力67井次,制定方案33口,已实施注水方案11口、堵水1口,实施薄差层单砂体对应精控压裂4口。实施后,已累积受效增油0.38×104吨,按80%的技术贡献率计算,直接获得经济效益414.81万元,取得了较好的开发效果。Using the method of plane energy difference characterization method of single sand layer on the front, the single sand layer on the front has a sheet-like distribution in a large area and has a thin layer of sand body with energy change. It is easy to form residual oil of plane seepage difference type. and plane adjustment and other countermeasures to optimize the seepage direction, the block has expanded potential for 67 wells, formulated 33 wells, implemented 11 water injection plans, 1 water plugged well, and implemented 4 well-controlled fracturing corresponding to a single sand body in thin and poor layers. . After the implementation, 0.38×104 tons of effective oil has been accumulated . Calculated according to the technical contribution rate of 80%, the economic benefit of 4.1481 million yuan has been directly obtained, and a good development effect has been achieved.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130325349A1 (en) * | 2012-05-31 | 2013-12-05 | Chevron U.S.A. Inc. | Methods for Generating Depofacies Classifications for Subsurface Oil or Gas Reservoirs or Fields |
| US20150039544A1 (en) * | 2013-07-31 | 2015-02-05 | Schlumberger Technology Corporation | Resource production forecasting |
| US20150378042A1 (en) * | 2013-02-20 | 2015-12-31 | Apache Corporation | Methods for determining well log attributes for formation characterization |
| CN106597543A (en) * | 2016-11-21 | 2017-04-26 | 中国石油天然气股份有限公司 | A method for stratigraphic sedimentary facies division |
| CN106869919A (en) * | 2017-04-28 | 2017-06-20 | 陕西延长石油(集团)有限责任公司研究院 | A kind of thin oil reservoir recognition methods in delta front |
| CN107490807A (en) * | 2017-09-05 | 2017-12-19 | 中国石油大港油田勘探开发研究院 | A kind of method of discrimination of detrital deposit microfacies |
| US20180031732A1 (en) * | 2015-02-13 | 2018-02-01 | Schlumberger Technology Corporation | Diagenetic and Depositional Rock Analysis |
| CN107831554A (en) * | 2017-10-25 | 2018-03-23 | 中国石油化工股份有限公司 | A kind of complex biological reef microfacies identification and decision method |
| CN110727027A (en) * | 2018-07-17 | 2020-01-24 | 中国石油天然气股份有限公司 | Fine carving method for multi-period river sand |
-
2020
- 2020-06-30 CN CN202010612139.7A patent/CN111734406B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130325349A1 (en) * | 2012-05-31 | 2013-12-05 | Chevron U.S.A. Inc. | Methods for Generating Depofacies Classifications for Subsurface Oil or Gas Reservoirs or Fields |
| US20150378042A1 (en) * | 2013-02-20 | 2015-12-31 | Apache Corporation | Methods for determining well log attributes for formation characterization |
| US20150039544A1 (en) * | 2013-07-31 | 2015-02-05 | Schlumberger Technology Corporation | Resource production forecasting |
| US20180031732A1 (en) * | 2015-02-13 | 2018-02-01 | Schlumberger Technology Corporation | Diagenetic and Depositional Rock Analysis |
| CN106597543A (en) * | 2016-11-21 | 2017-04-26 | 中国石油天然气股份有限公司 | A method for stratigraphic sedimentary facies division |
| CN106869919A (en) * | 2017-04-28 | 2017-06-20 | 陕西延长石油(集团)有限责任公司研究院 | A kind of thin oil reservoir recognition methods in delta front |
| CN107490807A (en) * | 2017-09-05 | 2017-12-19 | 中国石油大港油田勘探开发研究院 | A kind of method of discrimination of detrital deposit microfacies |
| CN107831554A (en) * | 2017-10-25 | 2018-03-23 | 中国石油化工股份有限公司 | A kind of complex biological reef microfacies identification and decision method |
| CN110727027A (en) * | 2018-07-17 | 2020-01-24 | 中国石油天然气股份有限公司 | Fine carving method for multi-period river sand |
Non-Patent Citations (4)
| Title |
|---|
| 赵红等: "厚油层内部砂体空间连通关系及表征方法研究", 《2018IFEDC油气田勘探与开发国际会议》 * |
| 赵红等: "厚油层内部砂体空间连通关系及表征方法研究", 《2018IFEDC油气田勘探与开发国际会议》, 18 September 2018 (2018-09-18), pages 1 - 6 * |
| 郭亚杰: "杏南开发区外前缘相砂体沉积类型及非均质性描述研究", 《中国优秀硕士学位论文全文数据库(工程科技Ⅰ辑)》 * |
| 郭亚杰: "杏南开发区外前缘相砂体沉积类型及非均质性描述研究", 《中国优秀硕士学位论文全文数据库(工程科技Ⅰ辑)》, 15 April 2011 (2011-04-15), pages 11 - 12 * |
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