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Application of the multi-information seismic-constrained reservoir modeling in extra-low permeability reservoir development

  • FuKun GAO ,
  • LiPing ZHOU ,
  • DongYang LI ,
  • YingLi ZHAO ,
  • JunRu LIU ,
  • JinChuan DUAN ,
  • GuiFang ZHANG
Expand
  • Geophysical Research Institute BGP Inc., CNPC, Zhuozhou 072750, China

Received date: 2024-03-18

  Online published: 2025-03-13

Copyright

Copyright ©2025 Progress in Geophysics. All rights reserved.

Abstract

The Chang6 reservoir of Ansai Oilfield in the eastern Ordos Basin is a representative example of a low-porosity and extra-low permeability reservoir, characterized by unfavorable physical properties and significant heterogeneity.Traditional reservoir modeling methods are difficult to effectively describe the heterogeneity changes between reservoirs in low-porosity and extra-low permeability reservoirs, which cannot meet the needs of precise oilfield development plan adjustment.Therefore, in order to meet the technical requirements of increasing oil production, the seismic reservoir modeling technology for low-porosity and extra-low permeability reservoirs is explored based on the development seismic of the first block in Ordos Basin.The multi-information seismic-constrained reservoir modeling is proposed.On the basis of combined well-seismic structural modeling and fracture modeling, combined with seismic attributes, the sedimentary microfacies model was constructed by deterministic modeling method based on the results of single-sand level sedimentary microfacies.Under the constraints of sedimentary microfacies model and spatial classification of seismic lithology probability body, a high-precision lithofacies model is established by using sequential Gaussian simulation method.Based on the lithofacies model, the seismic porosity inversion body is usedto further constrain the spatial classification and establish the porosity model.The permeability model is calculated by the empirical formula of pore-permeability relationship, and the oil saturation model is established by Kriging interpolation method. The results show that the seismic constrained reservoir model exhibits evident features of evolving reservoir physical properties, well-defined reservoir boundaries, and clear interlayer configuration relationships.The reliability of the reservoir model established through this technology is further substantiated by analyzing production dynamic data, enabling precise characterization of multi-stage thin sand-body reservoir groups.The technology takes advantage of abundant information of lateral changes of development seismic, solves the problem of inter-well uncertainty of traditional stochastic simulation modeling method, and realizes fine characterization of physical property distribution law of significant heterogeneous reservoirs.The seismic constrained reservoir model has been applied to perfect the corresponding relationship between injection and production and reservoir edge expansion.It provides effective technical support for the stable production of Ansai oilfield and promotes the application of development seismic in Ordos Basin.

Cite this article

FuKun GAO , LiPing ZHOU , DongYang LI , YingLi ZHAO , JunRu LIU , JinChuan DUAN , GuiFang ZHANG . Application of the multi-information seismic-constrained reservoir modeling in extra-low permeability reservoir development[J]. Progress in Geophysics, 2025 , 40(1) : 121 -130 . DOI: 10.6038/pg2025HH0400

0 引言

鄂尔多斯盆地东部安塞油田位于陕北安塞县境内,区域构造背景为一平缓的西倾单斜,倾角仅半度左右,局部地区发育着近东西向的低缓压实鼻状隆起带.研究区位于王窑油田南部,呈长条状北东向延伸.王窑南研究区长6油藏是有近40年开发生产历史的特低渗油藏,处于“双高”阶段.为高精度预测剩余油空间分布,精准调整开发方案,2021年长庆油田在鄂尔多斯盆地东部部署首块开发三维,充分发挥开发地震技术优势,精细表征特低渗油藏储层物性空间展布规律.
针对国内低渗-特低渗储层的油藏建模,主要采用随机建模的方法,该方法有较强随机性、不确定性.地震约束油藏建模是指利用三维地震资料建立油藏模型的综合研究,利用三维地震横向确定性变化趋势作为约束条件,发挥“地震约束”控制作用(刘文岭,2008).国内很多学者在井震拟合多数据综合地质建模领域取得卓越研究成果.基于多源数据的快速井震联合多学科油藏技术应用到油藏建模中,实现储层精细刻画,提高油藏模型精度,指导注采调整(李占东等,2015王延光等,2015).以共享油藏模型为核心的井震藏一体化技术理念应用到老油田挖潜,形成了动态地震岩石物理分析、井控保幅高分辨率地震资料处理、井控精细构造解释、井震联合储层研究、地震约束油藏建模和地震约束油藏数模技术系列,取得明显效果(甘利灯等,2016).利用基于Bayesian-MCMC算法的地质统计学反演成果的高分辨率岩性体、物性体,通过时深转化建立高精度的深度域的高精度三维岩性模型、物性模型,提高三维地质模型精度,建立细节丰富地质模型(孙月成,2018).针对复杂岩性低渗油藏,运用多元测井识别方法识别出复杂岩性,结合地震多属性和地震切片,确定沉积相边界,建立与地质认识较符合的岩性模型和储层属性模型(金璨等,2021).基于相控模拟体系结合地学数据挖掘算法和建模技术来精细表征致密气储层的渗透率,以沉积微相的约束下建立渗透率空间地质体,提升致密储层预测精度(喻鹏等,2022).针对薄储层反演多解性,利用岩性补偿系数以沉积相以及测井、地震数据等约束信息的沉积相约束反演储层方法,充分发挥沉积微相、测井、地震信息约束作用,提高纵向薄砂体识别能力,预测薄砂体平面展布特征,表征储层物性空间变化(翟亮等,2023).地震约束在油藏建模过程发挥重要空间控制作用.本次研究运用地震多信息联合分级约束油藏建模技术,发挥地震约束作用,构建高精度静态油藏模型,精描特低渗油藏储层物性特征,通过在王窑南研究区的实际应用表明,对特低渗油藏描述有较好应用效果.

1 地震多信息联合分级约束油藏建模技术

1.1 油藏建模思路

为了解决特低渗储层非均质性强给建模研究带来不确定性这一难题,本次研究在常规建模的基础上,通过多种地震反演数据体逐级井间约束来提高模型的确定性,在建模的过程中采用以下研究思路(图 1),技术关键点:第一,依据地质、测井、地震资料建立单砂体小层格架,地震-地质结合绘制单砂体级别沉积微相图,采用确定性建模的方法,将单砂体级别沉积微相成果赋值每个网格,确定每个模型网格沉积微相类型,建立沉积相模型,作为一级约束;第二,基于单井岩相解释数据和沉积相模型,以地震岩性概率体作为二级约束条件,采用序贯高斯模拟方法,将地震岩性概率体作为协克里金约束软数据,建立岩相模型;第三,基于测井物性数据和岩相模型,以地震孔隙度反演体作为三级约束条件,采用序贯高斯模拟方法,将地震孔隙度反演体作为协克里金约束软数据,建立孔隙度模型.基于岩相模型和孔隙度模型,利用孔渗经验公式建立渗透率模型.本次研究采用相控+地震岩性概率体+地震孔隙度反演体联合分级约束油藏建模技术,将井资料高纵向分辨率与地震资料高横向分辨率的优势相结合,从而提高三维地质模型的精度,提升井间预测的确定性.
图1 地震多信息来拟合分级约束油藏建模流程图

Fig 1 The multi-information seismic-constrained reservoir modeling technological process map

1.2 关键步骤

1.2.1 建立单砂体级别沉积相模型

研究区沉积微相模型多期河道叠置特征明显,水下分流河道地质现象清晰(宋子齐等,2009赵灵生等,2020).针对特低渗油藏非均质性强的特点,本次研究以单砂体级别沉积微相展布特征为目标.依据地质背景、电测曲线特征、地质录井剖面、岩芯韵律特征等完成2500口单井沉积微相解释(图 2a),结合地震平均振动能量振幅属性信息(图 2b),建立长6油藏单砂体级别沉积微相平面图(图 2c).采用确定性建模方法,建立单砂层级别的沉积微相模型(图 2).
图2 井震结合刻画单砂体沉积微相

(a)王窑南地区桥AA单井沉积相图;(b)王窑南地区长6层地震平均振动能量属性平面图; (c)王窑南地区长61121层沉积微相平面图; (d)王窑南地区长6段沉积微相模型图.

Fig 2 Combining well seismic analysis to characterize sedimentary microfacies of single sand bodies

(a)The phase diagram of Qiao AA in south Wangyao block; (b) The average vibration energy seismic attribution of chang6 reservoir in south Wangyao block; (c) The sedimentary facies plan of chang61121 reservoir in south Wangyao block; (d) The sedimentary facies model of chang6 reservoir in south Wangyao block.

1.2.2 地震岩性概率体约束岩相建模

为建立高精确油藏模型,岩相模型是关键.以沉积微相模型空间约束下,以单井岩相解释为基础,采用序贯高斯随机模拟方法,运用高分辨率地震岩性概率体作为空间约束体,构建地震约束岩相模型(图 3a).为更好对比地震约束作用,仅用沉积微相模型空间约束下构建非地震约束离散随机模拟岩相模型(图 3b).对比发现:地震约束岩相模型剖面(图 3d)在纵向上保留着测井高分辨率,横向上保留着岩相的确定性变化趋势,与地震岩性概率体剖面(图 3c)有较好一致性;对比离散随机模拟岩相模型(图 3e),地震约束岩相模型剖面(图 3d)井间砂体横向连通关系变化清晰,砂体叠置关系更加明显.
图3 王窑南地区地震岩性概率体约束岩相模型及随机模拟岩相模型建模结果

(a)地震约束岩相模型立体图;(b)离散随机模拟岩相模型立体图;(c)地震岩性概率体剖面图;(d)地震约束岩相模型剖面图;(e)离散随机模拟岩相模型剖面图.

Fig 3 Seismic-constrained rock phase model and discrete stochastic simulated rock phase model in south Wangyao block

(a)Seismic-constrained rock phase model; (b) Discrete stochastic simulated rock phase model; (c) Seismic lithologic probability profile map; (d) Seismic-constrained rock phase model profile map; (e) Discrete stochastic simulated rock phase model profile map.

1.2.3 地震孔隙度反演体约束孔隙度建模

采用序贯高斯随机模拟方法,以测井孔隙度数据为基础数据,基于地震岩性概率体约束岩相模型,以测井孔隙度数据为基础数据,地震孔隙度反演体(图 4a)作为空间约束条件,构建地震约束孔隙度模型.采用离散随机模拟方法构建孔隙度模型.研究发现地震约束孔隙度模型(图 4b)既保留着地震孔隙度反演体横向变化趋势,同时提高孔隙度横向变化精度,相比随机模拟孔隙度模型(图 4c)在井间物性横向展布规律特征刻画的更加清晰.依据孔渗关系经验公式:
$\text { PERM }=0.0192 \times \mathrm{e}^{0.2213 \times \text { POR }}, $
图4 王窑南地区地震孔隙度反演体约束孔隙度模型及离散随机模拟孔隙度模型剖面结果

(a)地震孔隙度反演体剖面;(b)地震约束孔隙度模型剖面;(c)离散随机模拟孔隙度模型剖面.

Fig 4 The profile map for seismic-constrained porosity model and discrete stochastic simulated porosity model in south Wangyao block

(a) Seismic porosity inversion volume profile map; (b) Seismic-constrained porosity model profile map; (c) Discrete stochastic simulated porosity model profile map.

直接由孔隙度模型计算得出地震约束渗透率模型.渗透率模型与地震约束孔隙度模型具有很好一致性,保留着地震信息横向约束.

1.2.4 克里金插值饱和度建模

在地震约束岩相模型基础上采用克里金插值建模方法,选用研究区内大规模注水前完钻井含油饱和度数据作为离散数据,地震约束下饱和度模型更接近于原始油藏状态,避免出现因水淹层造成饱和度模型误差过大情况. 对比与随机模拟饱和度模型(图 5b)对比发现,地震约束下饱和模型井间油藏变化及油藏边界特征刻画更加准确和落实(图 5a),为剩余油动态预测奠定静态基础.
图5 王窑南地区地震约束含油饱和度模型剖面及离散随机模拟含油饱和度模型

(a)地震约束饱和度模型剖面;(b)离散随机模拟饱和度模型.

Fig 5 The profile map for seismic constraint oil saturation model profile and discrete stochastic simulated oil saturation model in south Wangyao block

(a) Seismic-constrained oil-saturation model profile map; (b) Discrete stochastic simulated oil-saturation model profile map.

2 应用实例

鄂尔多斯盆地安塞油田王窑南研究区长6油藏属于低孔特低渗油藏,油层埋深1100~1300 m,平均油层厚度12 m,孔隙度12%~16%, 均值13.3%, 渗透率(0.3~3)×10-15 m2, 均值1.71×10-15 m2.王窑南研究区为三角洲前缘沉积体系,水下分流河道砂体为主要储集砂体,研究区内多条河道叠置,储层物性差、横向变化快、非均质性强(赵灵生等,2020).采用地震多信息联合分级约束油藏建模技术,建立高精度静态油藏模型,精细表征低孔特低渗油藏储层物性横向变化,取得以下应用效果:

2.1 完善注采对应关系

深化砂体间连通性研究,调整注采关系是提高油田开发效果的关键(刘传奇等,2022).依托地震约束油藏模型,精细筛查注采井网砂体间连通关系,发现存在“有采无注”现象(图 6),需进一步完善注采关系.如王窑南研究区的A1井和A2井为采油井,B1井为注水井,开采层位为长611层,自投产以来,随着B1井注水量的增加,A1井的日产油、含水率增加,当B1井注水量降低时,A1的含水率、日产量随机下降,揭示A1井、B1井砂体连通状况好,从地震约束模型剖面来看井A1井的3号砂体对应B1注水井3号砂体并未实施注水,砂体间有明显泥岩隔层.基于地震约束岩相模型精细表征A1井和B1井砂体间的连通关系及纵向砂体叠置关系.结合生产动态数据,精准提出开发方案调整建议B1井的3号砂体实施配注,完善井组注采关系, 提高储量控制程度.
图6 地震岩性概率体连井剖面图

Fig 6 Seismic lithologic probability inversion profile map

2.2 实现油藏边部外扩

基于地震约束油藏模型表征油藏空间变化规律,综合试油、生产动态数据,精细评价并逐层刻画油藏边界,建立NTG和油藏模型,通过精细复算各小层储量,进一步落实储量规模,实现多期薄砂体油藏群叠置的整装型油藏精细刻画,进而刻画出整装型油藏含油面积(图 7).通过对比发现,基于地震分级约束油藏模型低孔特低渗油藏的储层物性边界更清晰,在原探明储量面积基础上,不仅实现预测含油面积扩边11.1 km2,而且在研究区东部新落实3个含油区6.2 km2.
图7 王窑南研究区油藏边部外扩成果图

Fig 7 Research on the external expansion of the oil confine in south Wangyao block

3 结论

研究区长6油藏低孔特低渗油藏具有强非均质性特点,随机建模方法不能较准确地表征出储层的物性空间变化特征.此次研究利用地震多信息联合分级约束油藏建模方法克服随机模拟井间不确定性的缺陷,在整个油藏建模各流程先后运用多套地震高精度成果数据体开展空间约束,发挥开发地震空间信息丰富技术优势,表征低孔特低渗油藏强非均质性储层物性分布规律.获得以下认识:
(1) 在井震联合基础上,采取地震多信息联合分级约束的方法,将地震属性、地震岩性概率体、地震孔隙度反演体应用到沉积相模型、岩相模型、孔隙度模型构建过程,发挥开发地震空间信息丰富技术优势,降低因插值和随机模拟带来的井间不确定性.地震约束油藏模型横向上储层物性变化特征明显,油藏边界刻画清晰,纵向上与隔夹层配置关系明确.
(2) 基于地震约束油藏岩相模型表征砂体展布规律、砂体间横向连通关系及纵向叠置关系,结合生产动态分析,完善调整注采对应关系,提高储量控制程度,为精准调整油田开发方案及提高采收率提供可靠的三维空间储层模型.
(3) 基于地震约束油藏模型表征油藏空间变化规律,综合试油、生产动态数据,精细评价并逐层刻画油藏边界,确定油藏含油面积,实现对原有油藏边界外扩,发现落实多个含油区.
(4) 地震多信息联合分级约束油藏模型应用于完善注采对应关系、油藏边部外扩等方面,为制定精准开发方案调整措施建议提供可靠静态模型基础.为安塞油田的稳产提供了有效技术支撑,推动了开发地震在鄂尔多斯盆地应用发展.

感谢审稿专家提出的修改意见和编辑部的大力支持!

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