裂缝性碳酸盐岩储层脉冲中子测井的蒙特卡罗模拟

发布时间：2018-05-13 00:40

本文选题：裂缝性碳酸盐岩储层 + 脉冲中子测井　；参考：《吉林大学》2015年硕士论文

【摘要】：碳酸盐岩储层是一类重要的油气储集层。碳酸盐岩储集层中的油气储量占世界油气总储量的一半左右。碳酸盐岩油气田一般比碎屑岩油气田更容易形成大型油气田。我国碳酸盐岩地层分布广泛，像四川盆地、塔里木盆地的碳酸盐岩地层中已经发现了大中型油气田。裂缝性碳酸盐岩储集层是一种致密的碳酸盐岩储层，这种储层基质孔隙小，，基本不具备渗透能力，发育的构造裂缝充当了油气的储集空间和渗滤通道，才形成良好的油气储层。测井是储层评价的重要手段。由于裂缝性碳酸盐岩储层缝洞发育，容易造成井眼垮塌，给裸眼常规测井带来困难，常常缺少裸眼测井资料。脉冲中子测井作为一种套管井评价方法越来越多的应用于裂缝性碳酸盐岩储层中。裂缝性碳酸盐岩储层多为缝洞型储层，孔隙空间由基质孔隙和次生孔隙构成，具有裂缝和溶蚀孔洞发育，储集空间分布纵横、非均质性强等特点；脉冲中子测井在该类储层的应用也受到限制，脉冲中子测井技术评价裂缝、提供储层参数的能力有待进一步研究。蒙特卡罗方法是一种随机数学的方法，在模拟粒子运动方面有独特优势，被广泛应用于核测井中。为了解脉冲中子测井在裂缝性碳酸盐岩储层的应用情况，研究其识别裂缝和定量评价储层的能力，本文在整理了塔河地区裂缝性碳酸盐岩储层脉冲中子测井资料的基础上试图建立碳酸盐岩储层模型，用蒙特卡罗方法模拟裂缝对脉冲中子源热中子密度分布的影响、脉冲中子测井识别裂缝的能力以及脉冲中子测井数据与裂缝孔隙度、饱和度等储层参数的关系。本文研究结果为脉冲中子测井在碳酸盐岩储层上的应用和定量解释提供理论基础。研究结果表明，蒙特卡罗模拟的结果与实际测井资料和数值计算的规律较为一致。
[Abstract]:Carbonate reservoir is an important kind of oil and gas reservoir. Carbonate reservoirs account for about half of the world's total oil and gas reserves. Carbonate oil and gas fields are generally easier to form large oil and gas fields than clastic ones. Carbonate strata are widely distributed in China, such as Sichuan Basin and Tarim Basin. Large and medium oil and gas fields have been found in carbonate strata. The fractured carbonate reservoir is a tight carbonate reservoir with small pore matrix and no permeability. The developed structural fracture acts as the reservoir space and percolation channel to form a good oil and gas reservoir. Logging is an important means of reservoir evaluation. Due to the development of fracture and cavity in fractured carbonate reservoir, borehole collapse is easy to be caused, which brings difficulties to the conventional logging of open hole, and often lacks the data of open hole logging. As a casing well evaluation method, pulse neutron logging is more and more used in fractured carbonate reservoir. The fractured carbonate reservoirs are mostly fissured and cavernous reservoirs. The pore space is composed of matrix pores and secondary pores, with the characteristics of fracture and solution pore development, vertical and horizontal distribution of reservoir space, strong heterogeneity and so on. The application of pulsed neutron logging in this kind of reservoirs is also limited. The ability of pulse neutron logging to evaluate fractures and provide reservoir parameters needs further study. Monte Carlo method is a stochastic mathematical method with unique advantages in simulating particle motion and is widely used in nuclear logging. In order to understand the application of pulsed neutron logging in fractured carbonate reservoirs, the ability of identifying fractures and quantitatively evaluating reservoirs is studied. On the basis of sorting out the pulsed neutron logging data of fractured carbonate reservoir in Tahe area, this paper attempts to establish a carbonate reservoir model and use Monte Carlo method to simulate the influence of fractures on the thermal neutron density distribution of pulsed neutron source. The ability of pulse neutron logging to identify fractures and the relationship between pulse neutron logging data and reservoir parameters such as fracture porosity and saturation are discussed. The results of this paper provide a theoretical basis for the application and quantitative interpretation of pulsed neutron logging in carbonate reservoirs. The results show that the Monte Carlo simulation results are consistent with the actual logging data and numerical calculation.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.13;P631.81

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