[go: up one dir, main page]

CN115166826A - A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs - Google Patents

A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs Download PDF

Info

Publication number
CN115166826A
CN115166826A CN202210940489.5A CN202210940489A CN115166826A CN 115166826 A CN115166826 A CN 115166826A CN 202210940489 A CN202210940489 A CN 202210940489A CN 115166826 A CN115166826 A CN 115166826A
Authority
CN
China
Prior art keywords
pressure
paleo
temperature
profile
section
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210940489.5A
Other languages
Chinese (zh)
Inventor
何建华
李勇
邓虎成
唐建明
李瑞雪
王琨瑜
陈鑫豪
张小菊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Univeristy of Technology
Original Assignee
Chengdu Univeristy of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Univeristy of Technology filed Critical Chengdu Univeristy of Technology
Priority to CN202210940489.5A priority Critical patent/CN115166826A/en
Publication of CN115166826A publication Critical patent/CN115166826A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/30Analysis
    • G01V1/306Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/624Reservoir parameters

Landscapes

  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Acoustics & Sound (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics (AREA)
  • Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)

Abstract

The invention discloses a method for recovering ancient pressure of a multi-dimensional and multi-period stratum of an unconventional reservoir, which comprises the steps of taking a typical pulse body of a rock core, carrying out inclusion temperature measurement and laser Raman testing, then recovering ancient pressure and corresponding time of the ancient pressure, carrying out time-depth conversion, structure trend surface continuation and other analyses on a backbone seismic section, reflecting the denudation amount, carrying out structure evolution section recovery and digital gridding, establishing key parameters required by simulation, gradually stripping back and restraining stratum morphology according to the recovered structure evolution section result, simulating the temperature pressure of each historical period of the stratum, recovering the ancient pressure measuring point time by using single-well buried history and temperature measurement results, finally carrying out correlation analysis and establishing a correction relational expression of each stratum pressure, and correcting the ancient pressure of each historical different depth section of each historical point on other points on the section. The method has the characteristic of more accurately recovering the paleo-pressure of the unconventional reservoir in the key geological historical period.

Description

一种非常规储层多维多时期地层古压力的恢复方法A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs

技术领域technical field

本发明涉及地层古压力恢复方法领域,具体涉及一种非常规储层多维多时期地层古压力的恢复方法。The invention relates to the field of formation paleo-pressure recovery methods, in particular to a multi-dimensional and multi-period formation paleo-pressure recovery method for unconventional reservoirs.

背景技术Background technique

地层压力是作用于岩层孔隙空间内流体上的压力,也称为孔隙流体压力,是盆地长期演化过程中形成的,在油气的生成、运聚、成藏过程发挥重要的作用。其中异常高压非常有利于页岩气的保存,能够指示有利的页岩气富集区。而由于古压力无法直接测定,因此地层古压力恢复是油气成藏机理和成藏过程中的重点与难点。Formation pressure is the pressure acting on the fluid in the pore space of the rock formation, also known as pore fluid pressure. It is formed during the long-term evolution of the basin and plays an important role in the generation, migration and accumulation of oil and gas. Among them, abnormal high pressure is very beneficial to the preservation of shale gas and can indicate favorable shale gas enrichment areas. However, since paleo-pressure cannot be measured directly, the recovery of formation paleo-pressure is the key and difficult point in hydrocarbon accumulation mechanism and accumulation process.

但目前关于各地质历史时期的古压力重建的结果是依据各时期单测点的压力计算结果和现今实测压力作为约束下得到的,约束后得到的模拟结果与实际值仍存在有一定的误差,古压力并未得到校正。另外针对剖面(二维)上的恢复仅依靠与单井测试结果的对比,通过模拟值与实测值的相对误差来说明其可靠性,未能充分利用上述实测值与模拟值的关系,相对剖面上古压力的恢复而言数据量少,随机性较强,缺乏说服力,且仅是对现今的约束,各历史时期的古压力并未得到校正。However, at present, the reconstruction results of paleo-pressure in various geological historical periods are obtained under the constraints of the pressure calculation results of a single measurement point in each period and the current measured pressure. There is still a certain error between the simulation results obtained after constraints and the actual values. Paleo pressure is not corrected. In addition, the restoration on the profile (two-dimensional) only depends on the comparison with the test results of a single well, and the relative error between the simulated value and the measured value is used to illustrate its reliability. For the restoration of ancient pressure, the amount of data is small, the randomness is strong, and it is not convincing, and it is only a constraint on the present, and the ancient pressure in each historical period has not been corrected.

因此,设计一种更为准确的恢复非常规储层关键地质历史时期的古压力是很有必要的。Therefore, it is necessary to design a more accurate restoration of palaeopressure in key geological historical periods of unconventional reservoirs.

发明内容SUMMARY OF THE INVENTION

本发明的目的是提供一种非常规储层多维多时期地层古压力的恢复方法,能够更加准确的对非常规储层多维多时期地层古压力进行恢复。The purpose of the present invention is to provide a method for restoring multi-dimensional and multi-period formation paleo-pressure in unconventional reservoirs, which can more accurately restore the multi-dimensional and multi-period formation paleo-pressure in unconventional reservoirs.

为了达到上述目的,本发明提供了一种非常规储层多维多时期地层古压力的恢复方法,该恢复方法包含以下步骤:In order to achieve the above object, the present invention provides a method for restoring multi-dimensional and multi-period formation paleopressure in unconventional reservoirs. The restoring method comprises the following steps:

S1:采取骨干地震剖面上关键井目的层不同层段不同时期的裂缝脉体,所述时期包括:燕山早中期、燕山晚期、喜山早期和喜山晚期;所述层段是指目的层中含油气的开发小层;然后进行流体包裹体测温和激光拉曼实验测试,之后进行古压力时间和压力的恢复,其中需用氖灯激光拉曼标准峰Ne1和标准峰Ne3对流体包裹体的拉曼散射峰校正,以裂缝脉体中甲烷包裹体被捕获时的压力作为古压力,其计算方式如下:S1: Fracture veins in different periods of different intervals of the target layer of key wells on the backbone seismic section are taken, and the periods include: Early-Middle Yanshan, Late Yanshan, Early Himalayan and Late Himalayan; Oil and gas-bearing development sublayers; then carry out fluid inclusion temperature measurement and laser Raman experimental test, and then carry out paleo-pressure time and pressure recovery. Neon laser Raman standard peaks Ne 1 and standard peaks Ne 3 are used to detect fluid inclusions. The Raman scattering peak correction of , using the pressure when the methane inclusions in the fracture veins are captured as the paleopressure, is calculated as follows:

vd-v0=211.3ρ4+73.328ρ3+24.477ρ2-29.0632ρv d -v 0 =211.3ρ 4 +73.328ρ 3 +24.477ρ 2 -29.0632ρ

Figure BDA0003785314890000021
Figure BDA0003785314890000021

其中in

Figure BDA0003785314890000022
Figure BDA0003785314890000022

ρ为甲烷包裹体密度,单位为g/cm3;vd为经校正后的甲烷拉曼散射峰波数;v0为密度接近于0时的甲烷拉曼散射峰波数,v0=2917.58cm-1;P为压力,单位为MPa;T为温度,单位为K;R为气体常数,R=0.008314467MPa·dm3·K-1·mol-1;V为摩尔体积,单位为dm3·mol-1,M为甲烷摩尔质量,M=16g/mol;Z为压缩因子;Pr为相对压力;Tr为相对温度,Vr为相对体积,量纲均为1;Pc为临界压力,Pc=4.6MPa;Tc为临界温度,Tc=190.4K;Vc为临界摩尔体积,单位为cm3/mol;a1=0.08726;a2=-0.75260;a3=0.37542;a4=0.01073;a5=0.00550;a6=-0.01848;a7=0.00032;a8=0.00021;a9=0.00002;a10=-0.00002;a11=0.00012;a12=-0.00011;α=0.04483;β=0.75397;γ=0.07717;ρ is the density of methane inclusions, in g/cm 3 ; v d is the corrected methane Raman scattering peak wave number; v 0 is the methane Raman scattering peak wave number when the density is close to 0, v 0 =2917.58cm - 1 ; P is the pressure, the unit is MPa; T is the temperature, the unit is K; R is the gas constant, R=0.008314467MPa·dm 3 ·K -1 ·mol -1 ; V is the molar volume, the unit is dm 3 ·mol -1 , M is the molar mass of methane, M=16g/mol; Z is the compression factor; P r is the relative pressure ; Tr is the relative temperature, V r is the relative volume, and the dimensions are all 1; P c is the critical pressure, P c =4.6MPa; T c is the critical temperature, T c =190.4K; V c is the critical molar volume, in cm 3 /mol; a 1 =0.08726; a 2 =-0.75260; a 3 =0.37542; a 4 a5 = 0.00550 ; a6 = -0.01848 ; a7 = 0.00032 ; a8 = 0.00021 ; a9 = 0.00002 ; a10 = -0.00002 ; a11 = 0.00012; a12 = -0.00011 ; β=0.75397; γ=0.07717;

S2:利用地震剖面资料使用2Dmove对骨干地震剖面进行时深转换、断面滑动拼接、去褶皱、去压实校正、结合低温热年代学测试所反映的剥蚀量,进行二维剖面构造演化恢复;S2: Using the seismic profile data, 2Dmove is used to perform time-depth conversion, cross-section sliding splicing, de-folding, de-compaction correction, and the denudation amount reflected by the low-temperature thermochronology test to restore the two-dimensional profile structural evolution;

S3:基于步骤S2已恢复的现今地震剖面导入PetroMod进行地层剖面数字网格化,结合区域地层沉积史、烃源岩地球化学资料和边界条件建立模拟所需关键参数;所述区域地层沉积史的参数包括:岩性、厚度和时代;所述烃源岩地球化学资料包括:TOC、氢指数和生烃动力学模型;所述边界条件包括:古水深、古热流和水岩界面温度;S3: Based on the present seismic section recovered in step S2, import it into PetroMod for digital gridding of the stratigraphic section, and establish the key parameters required for the simulation in combination with the regional stratigraphic depositional history, source rock geochemical data and boundary conditions; The parameters include: lithology, thickness and age; the source rock geochemical data include: TOC, hydrogen index and hydrocarbon generation kinetic model; the boundary conditions include: paleo-water depth, paleo-heat flow and water-rock interface temperature;

S4:依据步骤S2恢复的构造演化剖面结果对S3中形成的剖面增加剥蚀量并逐层约束地层形态;S4: according to the structural evolution profile result restored in step S2, increase the erosion amount to the profile formed in S3 and constrain the stratum shape layer by layer;

S5:利用PetroMod对剖面各历史时期的地层温压进行模拟,利用剖面单井温度埋藏史结合包裹体测温结果恢复古压力测点时间;S5: Use PetroMod to simulate the formation temperature and pressure in each historical period of the profile, and use the single-well temperature burial history of the profile combined with the temperature measurement results of inclusions to restore the time of paleo-pressure measurement points;

S6:采用步骤S1计算所得不同层段点的古压力值和现今实测地层压力为Y轴与相应地层对应时间的PetroMod模拟的古应力值为X轴进行相关性分析并建立相应校正关系式,基于该校正关系式对骨干剖面上其它点位各历史时期不同深度段的古压力进行校正。S6: Use the paleo-pressure values of different interval points calculated in step S1 and the present measured formation pressure as the Y-axis and the paleo-stress value simulated by PetroMod at the corresponding time of the corresponding formation to perform a correlation analysis on the X-axis and establish a corresponding correction relation. This correction relation is used to correct the paleopressures of other points on the backbone profile at different depths in different historical periods.

优选地,所述S1中的裂缝脉体为水力破裂缝脉体和高角度构造裂缝脉体。Preferably, the fracture veins in the S1 are hydraulic fractured fractures and high-angle structural fractures.

本发明的地层古压力的恢复方法,具有以下优点:本发明通过分层段、分期次、分成因(与生烃作用和构造作用相关)的裂缝脉体取样实验计算出古压力与软件数值模拟值进行相关性校正,同时利用构造演化剖面约束模拟剖面能够更加准确的对非常规储层多维多时期地层古压力进行恢复。The recovery method of formation paleo-pressure of the present invention has the following advantages: the present invention calculates paleo-pressure and software numerical simulation through fracture vein sampling experiments of stratified sections, stages, and causes (related to hydrocarbon generation and tectonic action). The correlation correction is performed on the value of the unconventional reservoir, and the multi-dimensional and multi-period formation paleopressure of the unconventional reservoir can be recovered more accurately by using the structural evolution profile to constrain the simulated profile.

附图说明Description of drawings

图1为本发明非常储层多维多时期地层古压力恢复方法流程图。Fig. 1 is a flow chart of the multi-dimensional and multi-period formation paleo-pressure recovery method of the extraordinary reservoir of the present invention.

图2为本发明部分裂缝脉体取样样品图;其中A为龙一段12小层燕山晚期构造裂缝;其中B为燕山早中期的生烃水力破裂缝,纤维状方解石充填。Fig. 2 is a sample diagram of some fractured veins of the present invention; A is the structural fracture in the late Yanshan period in the 12th sublayer of the Long 1 member; B is the hydrocarbon-generating hydraulic fracture in the early and middle Yanshan period, filled with fibrous calcite.

图3为本发明部分裂缝脉体中甲烷包裹体形态与产出特征图;其中A为节理缝内呈分散状盐水包裹体;其中B为天然微裂隙呈线性排列的盐水包裹体和甲烷包裹体。Fig. 3 is a diagram showing the morphology and production characteristics of methane inclusions in some fractured veins of the present invention; wherein A is the dispersed brine inclusions in the joint fractures; wherein B is the brine inclusions and methane inclusions with linear arrangement of natural micro-fractures .

图4为本发明部分裂缝脉体中甲烷包裹体激光拉曼图谱。FIG. 4 is a laser Raman spectrum of methane inclusions in some fractured veins of the present invention.

图5为本发明部分裂缝脉体甲烷包裹体均一温度分布直方图。Fig. 5 is a histogram of the uniform temperature distribution of methane inclusions in some fractured veins of the present invention.

图6为本发明过丁山地区骨干剖面构造演化图。FIG. 6 is a structural evolution diagram of the backbone section in the Guodingshan area according to the present invention.

图7为本发明丁山地区井位分布与骨干剖面位置图。FIG. 7 is a diagram showing the distribution of well locations and the location of backbone sections in the Dingshan area of the present invention.

图8为本发明A井单井埋藏史-温度-压力模拟图。FIG. 8 is a simulation diagram of single-well burial history-temperature-pressure of Well A of the present invention.

图9为本发明计算古压力及实测压力与模拟值关系图。FIG. 9 is a graph showing the relationship between the calculated paleo-pressure, the measured pressure and the simulated value according to the present invention.

图10为本发明校正后的古压力演化剖面图。FIG. 10 is a cross-sectional view of the paleo-pressure evolution after correction according to the present invention.

具体实施方式Detailed ways

下面将对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be described clearly and completely below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

实施例1Example 1

参照图1、本实施例提供了一种非常规储层多维多时期地层古压力恢复方法,包括以下步骤:Referring to FIG. 1, the present embodiment provides a multi-dimensional and multi-period formation paleo-pressure recovery method for unconventional reservoirs, including the following steps:

S1:采取剖面目的层的不同期次裂缝脉体进行包括体测温和拉曼光谱实验并统计以及计算实验结果,相关步骤如下:S1: Take the fracture veins of different stages of the profile target layer to conduct experiments including body measurement and Raman spectroscopy, and count and calculate the experimental results. The relevant steps are as follows:

①对恢复剖面的钻井目的层的不同期次的生烃水力破裂缝和高角度裂缝脉体取样,参照附图的图2所示;①Sampling the hydrocarbon-generating hydraulic fractures and high-angle fracture veins in different stages of the drilling target layer of the recovery profile, as shown in Figure 2 of the accompanying drawings;

②流体包裹体测温:脉体中的流体包裹体测温使用的是由Zeiss公司生产的AxioScope.AI双通道荧光—透射光显微镜,同时配备Linkam公司生产的THMSG600冷热台及冷热控制系统,均一温度测试误差为±1℃;升温速率控制在0.1-5℃/min,选择轮廓特征清晰、被均一捕获的包裹体,剔除非均一捕获的异常包裹体,参照附图的图3所示,观察并记录包裹体完全均一时和包裹体冰块完全溶化时的温度;②The temperature measurement of fluid inclusions: The temperature measurement of fluid inclusions in the vein body uses the AxioScope.AI dual-channel fluorescence-transmitted light microscope produced by Zeiss Company, and is equipped with THMSG600 cooling and heating stage and cooling and heating control system produced by Linkam Company. , the uniform temperature test error is ±1 °C; the heating rate is controlled at 0.1-5 °C/min, the inclusions with clear contour characteristics and uniform capture are selected, and the abnormal inclusions that are not uniformly captured are excluded, as shown in Figure 3 of the accompanying drawings. , observe and record the temperature when the inclusions are completely homogeneous and when the ice cubes are completely melted;

③激光拉曼测试:在流体包裹体研究的基础上,选取保存形态较为完整、形态规则的纯气相甲烷包裹体进行显微激光拉曼测试,参照附图的图4所示。激光拉曼光谱分析测试采用HORIBA JobinYvomS.A.S公司生产的LabRAM HR800显微激光拉曼光谱仪。实验温度控制在22℃,光源为YAG激光器,单次数据采集时间间隔为20~120s。包裹体的激光拉曼光谱数据采集首先选用300光栅获取信号峰,用于确定包裹体成分,再用1800光栅进行采集确定峰位移,最后用氖灯激光拉曼标准峰Ne1(标准值2836.9888cm-1)和标准峰Ne3(标准值3008.1274cm-1)对所测结果校正。③ Laser Raman test: On the basis of the research on fluid inclusions, pure gas-phase methane inclusions with relatively complete and regular shapes were selected for microscopic laser Raman test, as shown in Figure 4 of the accompanying drawings. The laser Raman spectroscopic analysis and test used the LabRAM HR800 microscope laser Raman spectrometer produced by HORIBA JobinYvomS.AS. The experimental temperature was controlled at 22 °C, the light source was a YAG laser, and the time interval for a single data acquisition was 20-120 s. For the laser Raman spectrum data acquisition of inclusions, the signal peaks were firstly obtained with a 300 grating, which was used to determine the composition of the inclusions, and then the 1800 grating was used to collect and determine the peak displacement. Finally, the standard peak Ne1 (standard value of 2836.9888cm - 1 ) and the standard peak Ne3 (standard value 3008.1274 cm -1 ) to correct the measured results.

④对实验结果分析:对测定的包裹体均一温度进行统计,统计结果参照附图的图5所示。对测试的甲烷包裹体的古压力计算方式计算,测试以及计算结果如表1所示,表1目的剖面甲烷包裹体拉曼位移及密度计算结果。④Analysis of experimental results: Statistics of the measured inclusion homogenization temperature are carried out, and the statistical results are shown in Figure 5 of the accompanying drawings. The paleo-pressure calculation method of the tested methane inclusions is calculated, and the test and calculation results are shown in Table 1. The Raman displacement and density calculation results of the methane inclusions in the target section of Table 1 are shown.

表1Table 1

Figure BDA0003785314890000051
Figure BDA0003785314890000051

S2:将目的层地震剖面导入2Dmove中,对地震剖面进行数字化并依次进行时深转换、断面滑动拼接、去褶皱、去压实校正、结合低温热年代学所反映的剥蚀量进行二维剖面构造演化恢复,参照附图的图6所示;S2: Import the seismic profile of the target layer into 2Dmove, digitize the seismic profile and perform time-depth conversion, cross-section sliding splicing, de-folding, de-compaction correction, and 2D profile structure combined with the denudation reflected by low-temperature thermochronology Evolution recovery, as shown in Figure 6 with reference to the accompanying drawings;

S3:基于S2中已恢复的现今地震剖面,导入PetroMod对地层剖面数字网格化,结合区域地层沉积史(岩性、厚度、时代)、烃源岩地球化学资料(TOC、氢指数、生烃动力学模型)和边界条件(古水深、古热流、水岩界面温度)建立模拟所需的上述关键参数;S3: Based on the present seismic section recovered in S2, import PetroMod to digitally grid the stratigraphic section, combine the regional stratigraphic depositional history (lithology, thickness, age), source rock geochemical data (TOC, hydrogen index, hydrocarbon generation dynamic model) and boundary conditions (paleo-water depth, paleo-heat flow, water-rock interface temperature) to establish the above key parameters required for simulation;

S4:依据S2恢复的构造演化剖面结果,参照附图的图6,对S3中形成的剖面在发生地层隆升剥蚀对应的地质时间增加对应的剥蚀量并逐层约束地层形态。S4: According to the structural evolution profile results restored by S2, referring to Figure 6 of the accompanying drawings, increase the corresponding denudation amount for the profile formed in S3 at the geological time corresponding to formation uplift and denudation, and constrain the formation layer by layer.

S5:利用PetroMod对剖面各历史时期的地层压力进行模拟,其中剖面可截取纵向上任意的单井(一维)模拟的温压结果,截取取样A井位的单井温度模拟结果结合S1A井的包裹体均一温度范围确定古压力对应的时间,参照附图的图7所示,B井、C井同样依据此;S5: Use PetroMod to simulate the formation pressure in each historical period of the profile, in which the profile can intercept the temperature and pressure results of any vertical single well (one-dimensional) simulation, and intercept the single well temperature simulation results of sampling well A combined with the results of well S1A. The uniform temperature range of the inclusions determines the time corresponding to the paleopressure, as shown in Figure 7 of the accompanying drawings, and Well B and Well C are also based on this;

S6:采用S1计算所得不同层段点的古压力值和现今实测地层压力与其对应时间模拟值进行相关性分析并建立关系式,剖面各历史时期不同深度段的模拟地层压力按照关系式进行变化校正,参照附图的图8、图9所示。S6: Use the paleo-pressure values at different intervals calculated by S1 and the current measured formation pressures and their corresponding time simulation values to conduct correlation analysis and establish a relational formula. The simulated formation pressures at different depths in each historical period of the profile are changed and corrected according to the relational formula. , with reference to Figures 8 and 9 of the accompanying drawings.

尽管本发明的内容已经通过上述优选实施例作了详细介绍,但应当认识到上述的描述不应被认为是对本发明的限制。在本领域技术人员阅读了上述内容后,对于本发明的多种修改和替代都将是显而易见的。因此,本发明的保护范围应由所附的权利要求来限定。While the content of the present invention has been described in detail by way of the above preferred embodiments, it should be appreciated that the above description should not be construed as limiting the present invention. Various modifications and alternatives to the present invention will be apparent to those skilled in the art upon reading the foregoing. Accordingly, the scope of protection of the present invention should be defined by the appended claims.

Claims (2)

1.一种非常规储层多维多时期地层古压力的恢复方法,其特征在于,该恢复方法包含以下步骤:1. a recovery method of multi-dimensional and multi-period formation paleo-pressure of unconventional reservoir, is characterized in that, this recovery method comprises the following steps: S1:采取骨干地震剖面上关键井目的层不同层段不同时期的裂缝脉体,所述时期包括:燕山早中期、燕山晚期、喜山早期和喜山晚期;所述层段是指目的层中含油气的开发小层;然后进行流体包裹体测温和激光拉曼实验测试,之后进行古压力时间和压力的恢复,其中需用氖灯激光拉曼标准峰Ne1和标准峰Ne3对流体包裹体的拉曼散射峰校正,以裂缝脉体中甲烷包裹体被捕获时的压力作为古压力,其计算方式如下:S1: Fracture veins in different periods of different intervals of the target layer of key wells on the backbone seismic section are taken, and the periods include: Early-Middle Yanshan, Late Yanshan, Early Himalayan and Late Himalayan; Oil and gas-bearing development sublayers; then carry out fluid inclusion temperature measurement and laser Raman experimental test, and then carry out paleo-pressure time and pressure recovery. Neon laser Raman standard peaks Ne 1 and standard peaks Ne 3 are used to detect fluid inclusions. The Raman scattering peak correction of , using the pressure when the methane inclusions in the fracture veins are captured as the paleopressure, is calculated as follows: vd-v0=211.3ρ4+73.328ρ3+24.477ρ2-29.0632ρv d -v 0 =211.3ρ 4 +73.328ρ 3 +24.477ρ 2 -29.0632ρ
Figure FDA0003785314880000011
Figure FDA0003785314880000011
其中in
Figure FDA0003785314880000012
Figure FDA0003785314880000012
Figure FDA0003785314880000013
Figure FDA0003785314880000014
Figure FDA0003785314880000013
Figure FDA0003785314880000014
式中:ρ为甲烷包裹体密度,单位为g/cm3;vd为经校正后的甲烷拉曼散射峰波数;v0为密度接近于0时的甲烷拉曼散射峰波数,v0=2917.58cm-1;P为压力,单位为MPa;T为温度,单位为K;R为气体常数,R=0.008314467MPa·dm3·K-1·mol-1;V为摩尔体积,单位为dm3·mol-1,M为甲烷摩尔质量,M=16g/mol;Z为压缩因子;Pr为相对压力;Tr为相对温度,Vr为相对体积,量纲均为1;Pc为临界压力,Pc=4.6MPa;Tc为临界温度,Tc=190.4K;Vc为临界摩尔体积,单位为cm3/mol;a1=0.08726;a2=-0.75260;a3=0.37542;a4=0.01073;a5=0.00550;a6=-0.01848;a7=0.00032;a8=0.00021;a9=0.00002;a10=-0.00002;a11=0.00012;a12=-0.00011;α=0.04483;β=0.75397;γ=0.07717;In the formula: ρ is the density of methane inclusions, in g/cm 3 ; v d is the corrected methane Raman scattering peak wave number; v 0 is the methane Raman scattering peak wave number when the density is close to 0, v 0 = 2917.58cm -1 ; P is pressure, unit is MPa; T is temperature, unit is K; R is gas constant, R=0.008314467MPa·dm 3 ·K -1 ·mol -1 ; V is molar volume, unit is dm 3 mol -1 , M is the molar mass of methane, M=16g/mol; Z is the compression factor; P r is the relative pressure ; Tr is the relative temperature, V r is the relative volume, and the dimension is 1; P c is Critical pressure, P c =4.6MPa; T c is critical temperature, T c =190.4K; V c is critical molar volume, in cm 3 /mol; a 1 =0.08726; a 2 =-0.75260; a 3 =0.37542 a 4 =0.01073; a 5 =0.00550; a 6 =-0.01848; a 7 =0.00032; a 8 = 0.00021 ; a 9 =0.00002; a 10 = -0.00002 ; = 0.04483; β = 0.75397; γ = 0.07717; S2:利用地震剖面资料使用2Dmove对骨干地震剖面进行时深转换、断面滑动拼接、去褶皱、去压实校正、结合低温热年代学测试所反映的剥蚀量,进行二维剖面构造演化恢复;S2: Using the seismic profile data, 2Dmove is used to perform time-depth conversion, cross-section sliding splicing, de-folding, de-compaction correction, and the denudation amount reflected by the low-temperature thermochronology test to restore the two-dimensional profile structural evolution; S3:基于步骤S2已恢复的现今地震剖面导入PetroMod进行地层剖面数字网格化,结合区域地层沉积史、烃源岩地球化学资料和边界条件建立模拟所需关键参数;所述区域地层沉积史的参数包括:岩性、厚度和时代;所述烃源岩地球化学资料包括:TOC、氢指数和生烃动力学模型;所述边界条件包括:古水深、古热流和水岩界面温度;S3: Based on the present seismic section recovered in step S2, import it into PetroMod for digital gridding of the stratigraphic section, and establish the key parameters required for the simulation in combination with the regional stratigraphic depositional history, source rock geochemical data and boundary conditions; The parameters include: lithology, thickness and age; the source rock geochemical data include: TOC, hydrogen index and hydrocarbon generation kinetic model; the boundary conditions include: paleo-water depth, paleo-heat flow and water-rock interface temperature; S4:依据步骤S2恢复的构造演化剖面结果对S3中形成的剖面增加剥蚀量并逐层约束地层形态;S4: according to the structural evolution profile result restored in step S2, increase the erosion amount to the profile formed in S3 and constrain the stratum shape layer by layer; S5:利用PetroMod对剖面各历史时期的地层温压进行模拟,利用剖面单井温度埋藏史结合包裹体测温结果恢复古压力测点时间;S5: Use PetroMod to simulate the formation temperature and pressure in each historical period of the profile, and use the single-well temperature burial history of the profile combined with the temperature measurement results of inclusions to restore the time of paleo-pressure measurement points; S6:采用步骤S1计算所得不同层段点的古压力值和现今实测地层压力为Y轴与相应地层对应时间的PetroMod模拟的古应力值为X轴进行相关性分析并建立相应校正关系式,基于该校正关系式对骨干剖面上其它点位各历史时期不同深度段的古压力进行校正。S6: Use the paleo-pressure values of different interval points calculated in step S1 and the present measured formation pressure as the Y-axis and the paleo-stress value simulated by PetroMod at the corresponding time of the corresponding formation to perform a correlation analysis on the X-axis and establish a corresponding correction relation. This correction relation is used to correct the paleopressures of other points on the backbone profile at different depths in different historical periods.
2.根据权利要求1所述的非常规储层多维多时期地层古压力的恢复方法,其特征在于,所述S1中的裂缝脉体为水力破裂缝脉体和高角度构造裂缝脉体。2 . The method for restoring multi-dimensional and multi-period formation paleopressure in an unconventional reservoir according to claim 1 , wherein the fracture veins in the S1 are hydraulic fracture veins and high-angle structural fracture veins. 3 .
CN202210940489.5A 2022-08-03 2022-08-03 A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs Pending CN115166826A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210940489.5A CN115166826A (en) 2022-08-03 2022-08-03 A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210940489.5A CN115166826A (en) 2022-08-03 2022-08-03 A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs

Publications (1)

Publication Number Publication Date
CN115166826A true CN115166826A (en) 2022-10-11

Family

ID=83479425

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210940489.5A Pending CN115166826A (en) 2022-08-03 2022-08-03 A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs

Country Status (1)

Country Link
CN (1) CN115166826A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118817637A (en) * 2024-09-10 2024-10-22 成都理工大学 A method for distinguishing the temperature and pressure conditions of pegmatite based on the spectral characteristics of muscovite
CN119045051A (en) * 2023-05-29 2024-11-29 中国石油天然气股份有限公司 Method for correcting stratum erosion amount by utilizing two-dimensional simulation
CN119124776A (en) * 2024-09-02 2024-12-13 成都理工大学 A method for analyzing the causes of abnormal pressure in high-temperature and high-pressure buried hills

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102748016A (en) * 2012-07-10 2012-10-24 中国石油大学(华东) Geologic history period sandstone reservoir porosity evolution recovery method
CN103982179A (en) * 2014-05-26 2014-08-13 中国地质大学(北京) Paleopressure quantitative inversion detection method of oil reservoir
CN104483703A (en) * 2014-12-31 2015-04-01 中国石油天然气股份有限公司 A Prediction Method of Paleoformation Pressure Combined with Well and Seismic
CN104849256A (en) * 2015-04-15 2015-08-19 中国地质大学(武汉) Method for obtaining trapping pressure of pure methane inclusion
US20190056527A1 (en) * 2017-08-17 2019-02-21 China University Of Geosciences (Beijing) Method and Device of Predicting Reservoir Sand Bodies Based on a Wind Field-Provenance-Basin System
CN112327355A (en) * 2020-10-28 2021-02-05 中海石油(中国)有限公司深圳分公司 Ancient landform restoration method based on source-sink system
CN113011063A (en) * 2021-03-05 2021-06-22 中国石油大学(华东) Ancient tectonic stress field inversion method based on tectonic evolution profile

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102748016A (en) * 2012-07-10 2012-10-24 中国石油大学(华东) Geologic history period sandstone reservoir porosity evolution recovery method
CN103982179A (en) * 2014-05-26 2014-08-13 中国地质大学(北京) Paleopressure quantitative inversion detection method of oil reservoir
CN104483703A (en) * 2014-12-31 2015-04-01 中国石油天然气股份有限公司 A Prediction Method of Paleoformation Pressure Combined with Well and Seismic
CN104849256A (en) * 2015-04-15 2015-08-19 中国地质大学(武汉) Method for obtaining trapping pressure of pure methane inclusion
US20190056527A1 (en) * 2017-08-17 2019-02-21 China University Of Geosciences (Beijing) Method and Device of Predicting Reservoir Sand Bodies Based on a Wind Field-Provenance-Basin System
CN112327355A (en) * 2020-10-28 2021-02-05 中海石油(中国)有限公司深圳分公司 Ancient landform restoration method based on source-sink system
CN113011063A (en) * 2021-03-05 2021-06-22 中国石油大学(华东) Ancient tectonic stress field inversion method based on tectonic evolution profile

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘国志: "古地貌恢复方法及过程——以渤海湾Z 构造为例" *
占王忠;贺永忠;陈文彬;朱勋;: "基于流体包裹体的羌塘盆地鄂斯玛地区索瓦组地层古压力恢复" *
郭明强 等: "鄂尔多斯盆地斯盆地东缘临兴地区上古生界古超压成因及其演化" *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119045051A (en) * 2023-05-29 2024-11-29 中国石油天然气股份有限公司 Method for correcting stratum erosion amount by utilizing two-dimensional simulation
CN119124776A (en) * 2024-09-02 2024-12-13 成都理工大学 A method for analyzing the causes of abnormal pressure in high-temperature and high-pressure buried hills
CN118817637A (en) * 2024-09-10 2024-10-22 成都理工大学 A method for distinguishing the temperature and pressure conditions of pegmatite based on the spectral characteristics of muscovite
CN118817637B (en) * 2024-09-10 2024-11-29 成都理工大学 Method for discriminating temperature and pressure conditions of pegmatite based on muscovite spectral characteristics

Similar Documents

Publication Publication Date Title
CN115166826A (en) A recovery method for multi-dimensional and multi-period formation paleopressure in unconventional reservoirs
CN110006738B (en) A method for evaluating rock brittleness based on stress-strain curve and scratch testing
CN105334536B (en) Effectiveness Evaluation Method of Network Fracture System in Tight Sandstone Reservoir
CN106442938B (en) A kind of accurate survey calculation method for obtaining shale air content
CN109931054A (en) The prediction technique of tight sandstone reservoir pressure
CN102707333A (en) Shale gas resource/reserve measurement method
CN112746835B (en) An optimized comprehensive evaluation method for logging in deep shale gas geological sweet spots
CN112730198B (en) Shale natural fracture permeability calculation method
CN110954944A (en) Fault trap oil-containing height earthquake prediction method
CN108374657B (en) Automatic identification method of well breakpoint
CN112083515B (en) Quantitative characterization of excavation effect of tight sandstone low-resistivity reservoir and evaluation method of gas-bearing property
CN108827999A (en) The evaluation method of low porosity permeability sandstone reservoir moveable oil ratio and moveable oil stock number
CN114184764B (en) Method and system for dividing tight carbonate reservoir rock mechanical layer
CN119229057A (en) A method for deep fracture network characterization and three-dimensional reconstruction based on multi-source information fusion
CN110095811A (en) Method and device for constructing and processing velocity model of gypsum formation
CN111426617B (en) A quantitative prediction method for porosity of tight reservoirs in continental lake basins under geological conditions
Tian et al. Reservoir porosity measurement uncertainty and its influence on shale gas resource assessment
CN115169085B (en) A stability evaluation method for converting an old salt mine cavity with inclined interlayers into a gas storage facility
CN116400405A (en) A prediction model of structural fracture connectivity and its application method
CN113777655A (en) Method for predicting planar distribution of hydrocarbon source rocks in small layers of salt lake basin
CN112198551A (en) Universal novel method for quantitatively evaluating reservoir fracture strength
Konstantinou Multiyear temporal variation of b-values at Alaskan volcanoes: the synergetic influence of stress and material heterogeneity
CN118839464A (en) Method and device for recovering dynamic evolution process of gas reservoir pressure
CN113187470B (en) A method and device for identifying shale oil layers and conventional oil layers on a well profile
CN115114573A (en) A method for quickly estimating the proven reserves of natural gas by using the gas content of drilling broken cuttings

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination