甲烷摩尔含量约束的石油包裹体捕获压力预测模型

平宏伟; 陈红汉; ThiéryRégis

doi:10.3799/dqkx.2014.008

甲烷摩尔含量约束的石油包裹体捕获压力预测模型

doi: 10.3799/dqkx.2014.008

1.
中国地质大学构造与油气资源教育部重点实验室, 湖北武汉 430074
2.
帕斯卡大学岩浆与火山实验室, 法国克莱蒙费朗 63000

基金项目:

国家重点基础研究发展计划"973"项目 2012CB214804

国家自然科学基金资助项目 41202088

详细信息

作者简介:
平宏伟(1982-), 男, 讲师, 博士, 主要从事含烃流体地质研究.E-mail: howping@qq.com

中图分类号: TE122.1
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出版历程
- 收稿日期: 2013-06-11
- 刊出日期: 2014-01-01

Prediction Model of Petroleum Inclusion Trapping Pressure Constrained by Methane Mole Content

1.
Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan 430074, China
2.
Université Blaise Pascal, Laboratoire Magmas et Volcans, Clermont-Ferrand 63000, France

摘要

摘要: 石油包裹体显微测温和体积分析已经被广泛应用于重构石油包裹体组分和压力-温度(P-T)捕获条件, 然而, 其P-T捕获条件准确预测除精确的均一温度(Th_oil)和气泡充填度(F_v)测试外, 还依赖于石油饱和压力和体积预测能力.基于改进石油流体饱和压力和气、液相摩尔体积预测精度, 建立了石油流体C₇₊组分摩尔含量与其Th_oil和室温(20 ℃)下F_v之间的定量关系.尽管利用该定量关系可以极大地简化石油包裹体热动力学模拟过程, 还是不能避免F_v对热动力学模拟精度的影响.因此, 根据大量已知组分石油流体建立了甲烷摩尔含量约束的新的石油包裹体捕获压力预测模型.新模型中唯一变量即为石油包裹体甲烷摩尔含量, 并且不再依赖于专业的热动力学模拟软件(PVTsim、VTflinc、PIT和FIT-OIL), 从而极大地简化了传统石油包裹体捕获压力重构过程.最终, 新模型捕获压力预测精度得到评价, 石油包裹体甲烷摩尔含量对捕获压力重构具有重要控制作用, 单个石油包裹体甲烷含量定量化是未来石油包裹体捕获压力重构的主要研究方向.
- 流体 /
- 包裹体 /
- 甲烷 /
- 组分模拟 /
- 捕获压力 /
- 热动力学
Abstract: Microthermometry and volumetric analysis have been widely used to reconstruct the composition and pressure-temperature (P-T) trapping conditions of petroleum inclusions. However, a reliable prediction of P-T trapping conditions also depends on accurate prediction of saturation pressure and volume of petroleum in addition to accurate measurements of homogenization temperature (Th_oil) and the degree of bubble filling (F_v). Based on the improved prediction accuracy of saturation pressure and gas-liquid phase mole volume of petroleum fluids, the quantitative correlation among C₇₊ mole fraction and Th_oil and F_v has been established. The correlation is still subject to the effect of F_v on the accuracy of petroleum inclusion thermodynamics modeling, although the processes for petroleum inclusion thermodynamics modeling can be largely simplified by using the correlation developed in this paper. So a new methane-constraining model for trapping pressure prediction of petroleum inclusion was developed according to large numbers of known petroleum compositions. The newly developed model has only one variable which is the methane mole fraction of petroleum inclusion and does not depend on professional softwares such as PVTsim, VTflinc, PIT, FIT-OIL and so on. Finally, the accuracy of newly developed model for trapping pressure prediction was tested, and the bulk methane mole fraction is the key control of the trapping pressure reconstruction and future research should be focused on the prediction of methane mole fraction of individual petroleum inclusion.
- fluid /
- inclusions /
- methane /
- composition modeling /
- trapping pressure /
- thermodynamics

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图 1 石油包裹体热动力学模拟流程(a)和典型的石油流体P-T相图(b)(图a据Ping et al., 2011)

体系包络线由泡点线和露点线组成, 临界点位于泡点线和露点线的交点.油包裹体P-T路径通过等容线来表示, 其中3个比较重要的点是油包裹体捕获点A(P_t, T_t)、均一化点B(P_h, T_h)和室温下测定的气泡充填度P-T位置点C(P_v, T_v)

Fig. 1. Schematic view for petroleum inclusion thermodynamic modeling (a) and typical P-T phase diagram of a petroleum (b)

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图 2 石油包裹体不同Th_oil对应计算的F_v(20 ℃)与C₇₊组分摩尔含量关系

Fig. 2. Linear regression of the mole content of C₇₊ cut as a function of calculated F_v (20 ℃) under different Th_oil

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图 3 计算的不同C₇₊摩尔含量的石油包裹体F_v(20 ℃)vs.Th_oil

Fig. 3. Calculated F_v (20 ℃) versus Th_oil for petroleum inclusions having trapped different oils with various C₇₊ mole fraction

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图 4 石油包裹体甲烷摩尔含量(x₁)与其饱和压力关系(a)和不同捕获温度条件下石油包裹体捕获压力与其甲烷摩尔含量关系(b)

Fig. 4. Regression curve of saturation pressure (P_s) as a function of x₁(%)(a) and regression curves of trapping pressure (P_t) under different T_t as a function of x₁(%)(b)

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图 5 据表 2中4种方法组合计算的捕获压力与参照捕获压力比较

a.方法1；b.方法2；c.方法3；d.方法4

Fig. 5. Comparison of referable trapping pressure (P_rt) with values calculated(P_ct) by the strategy 1-4 in table 2

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图 6 拟合的原油中C₁摩尔含量与C₇₊组分摩尔含量关系(N=160)

Fig. 6. Relationship between C₁ mole content and C₇₊ mole content in crude oils

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表 1 饱和压力预测精度比较(N=160)

Table 1. Prediction comparison of the saturation pressure between this paper method and the correlation of Elsharkawy (2003)

方法	平均相对偏差ARD(%)	平均绝对偏差AAD(%)
公式(7)	2.33	7.20
Elsharkawy (2003)方法	-2.59	9.23
注: $ A A D\left(P_{\mathrm{s}}\right)=\frac{1}{N} \sum\limits_{n=1}^{N}\left\|\frac{P_{\mathrm{ct}}-P_{\mathrm{et}}}{P_{\mathrm{et}}}\right\|, A R D\left(P_{\mathrm{s}}\right)=\frac{1}{N} \sum\limits_{n=1}^{N} \frac{P_{\mathrm{ct}}-P_{\mathrm{et}}}{P_{\mathrm{et}}}$, 其中P_ct为计算的饱和压力, P_et为实测饱和压力, N为数据个数, 单位为%.

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表 2 石油包裹体热动力学模拟重构捕获压力方法组合

Table 2. Strategies for trapping pressure prediction and the prediction comparison

热动力学模拟古压力方法	输入参数	中间参数
1	x₁, Th_oil, ¹T_t	⁴P_h, ⁵P_{Th_oil+5}
2	x₁, Th_oil, F_v, ²T_t	¹x₇₊, ²α-β, ¹P_s
3	Th_oil, F_v, ¹T_t	¹x₇₊, ³x₁, ⁴P_h, ⁵P_{Th_oil+5}
4	Th_oil, F_v, ²T_t	¹x₇₊, ³x₁, ²α-β, ¹P_s
注: Th_oil为石油包裹体均一温度；T_t为油包裹体的捕获温度；P_t为T_t对应的捕获压力；P_{Th_oil+5}为T_t=Th_oil+5 ℃时的捕获压力；P_h为Th_oil条件下的饱和压力；¹P_s为计算的α-β组分饱和压力；¹x₇₊为计算的C₇₊摩尔含量(公式4)；²α-β表示α-β组分是根据本文公式(4)简化的α-β组分模拟方法获取; ³x₁代表甲烷摩尔含量, 根据Ping et al. (2011)中公式(17)获取；⁴P_h表示饱和压力根据本文中公式(5)获取；⁵P_{Th_oil+5}表示T_t=Th_oil+5 ℃的捕获压力, 根据本文公式(9)获取；¹T_t代表捕获压力根据公式(14)获取；²T_t代表捕获压力根据获取的唯一α-β组分后再利用状态方程(EoS)计算获取.

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表 3 不同捕获压力预测方法精度比较

Table 3. The prediction comparison for trapping pressure reconstruction using different strategies

模拟古压力方法	ΔT=10 ℃	ΔT =20 ℃	ΔT =30 ℃	ΔT =40 ℃	ΔT=50 ℃	AAD (P_t)(%)
模拟古压力方法	AAD (P_t)(%)	AAD (P_t)(%)	AAD (P_t)(%)	AAD (P_t)(%)	AAD (P_t)(%)	AAD (P_t)(%)
1	5.85	5.92	6.09	6.43	6.73	6.44
2	8.49	7.23	6.53	5.82	5.51	6.92
3	16.18	13.86	12.33	10.96	10.37	13.07
4	18.06	15.47	13.78	11.86	11.04	14.54
注: $\Delta T=T_{\mathrm{t}}-T h_{\mathrm{oil}} ; A A D\left(P_{t}\right)=\frac{1}{N} \sum\limits_{n=1}^{N}\left\|\frac{P_{\mathrm{ct}}-P_{\mathrm{rt}}}{P_{\mathrm{rt}}}\right\| $, 其中P_ct为计算的捕获压力, P_rt为本文中参照捕获压力, N为数据个数, 单位为%.

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