华庆地区延长组致密油测井解释方法研究

发布时间：2018-10-26 16:05

【摘要】：华庆地区位于鄂尔多斯(ERDOS)盆地天环坳陷南部,是长庆油田的主产油区之一。近年,该区在致密油气勘探方面取得了一系列重大突破,发现了许多新的油气甜点,已成鄂尔多斯盆地油气勘探的热点地区,然而随着勘探的深入,该区长6段致密储层所具有的低孔、低渗、油水关系复杂等特点使得测井解释存在着符合率低、效果欠佳等问题。为此,本文针对ERDOS盆地华庆地区长6段致密油储层,首先优选出对致密油响应明显的测井曲线;开展了电阻率曲线泥浆的侵入影响校正方法的研究;然后在用已收集的测井、录井、试油资料及岩心实验数据,对致密储层"四性关系"进行分析,建立储层参数解释模型,并得出储层物性下限·,基于优选出的致密油敏感曲线,进行致密油含流体性质识别方法的研究;最终形成一套适用于工区长6段致密油的测井精细解释软件。具体取得了以下认识:(1)根据工区长6段致密油测井响应特征,优选出的对致密油敏感的测井曲线有自然伽马曲线、密度曲线、声波时差曲线、补偿中子曲线及阵列感应电阻率曲线。(2)工区长6段阵列感应电阻率曲线具有较明显幅度差,表明该段泥浆侵入明显,因此有必要对阵列感应电阻率进行泥浆侵入校正。本研究针对致密油层的泥浆高侵和低侵特征,采用了一种基于阵列感应测井径向几何因子的电阻率泥浆侵入校正方法,与斯伦贝谢电阻率校正图版法校正结果相符。(3)通过"四性关系"研究,确定工区长6段致密油测井响应特征,然后对比分析了泥质含量、孔隙度的不同计算方法,发现利用自然伽马值计算泥质含量精度较高,利用密度值计算孔隙度精度较高;通过分析岩心实验数据确定孔隙度和渗透率的相关关系,用于工区渗透率的计算;然后利用工区岩电实验数据,回归得到阿尔奇公式中的a、b、m、n值,建立了高精度储层参数解释模型;最后采用孔饱关系法、产能分析法、经验统计法综合分析以确定长6段储层物性下限:孔隙度为6.4%,渗透率0.035mD。(4)根据优选出的对致密油敏感的测井曲线,提出一个识别储层流体性质的孔电新参数ODI,同时与声-电两参数交会图法、侵入特征分析法、三孔隙度重叠法、微分分析法等多种致密油含流体性质识别方法进行分析对比,发现孔电新参数ODI法对致密油含流体性质识别效果最佳。(5)将上述方法集成,利用Fortran语言编程,形成了一套挂接在LEAD平台上适用于华庆地区长6段致密油的测井精细解释软件(Logtofi)。该软件运行稳定,处理结果可靠,满足了射孔压裂工程对致密油测井评价的要求。
[Abstract]:Hua-qing area is located in the south of Tianhuan depression of Ordos (ERDOS) basin and is one of the main oil producing areas in Changqing Oilfield. In recent years, this area has made a series of major breakthroughs in tight oil and gas exploration, and many new oil and gas desserts have been discovered, which has become a hot spot for oil and gas exploration in the Ordos Basin. However, with the deepening of exploration, The low porosity, low permeability and complex oil-water relationship in the tight reservoir of Chang 6 in this area make the logging interpretation have some problems, such as low coincidence rate and poor effect. Therefore, in this paper, for the tight oil reservoir of Chang-6 formation in Huaqing area, ERDOS basin, the logging curve with obvious response to tight oil is selected, and the method of correction of the intrusion effect of mud on resistivity curve is studied. Then, by using the collected logging, oil test data and core experimental data, the "four properties" relation of tight reservoir is analyzed, and the interpretation model of reservoir parameters is established, and the lower limit of reservoir properties is obtained. Based on the selected sensitive curves of dense oil, the identification method of fluid properties of dense oil was studied. Finally, a set of fine logging interpretation software is developed for tight oil in section 6. The main results are as follows: (1) according to the response characteristics of tight oil logging in section 6, the selected logging curves which are sensitive to dense oil include natural gamma curve, density curve, acoustic moveout curve. Compensation neutron curve and array induced resistivity curve. (2) the amplitude of the array inductive resistivity curve of the 6-segment array is obviously different, which indicates that the mud invasion is obvious, so it is necessary to correct the array induction resistivity. In this paper, according to the characteristics of high and low mud invasion in dense reservoirs, a method of mud resistivity intrusion correction based on radial geometry factor of array induction logging is proposed. The results are consistent with the results of Schlumberger's resistivity correction plate method. (3) the response characteristics of tight oil logging in section 6 of Gongzou area are determined through the study of "four-sex relationship", and the different calculation methods of shale content and porosity are compared and analyzed. It is found that the accuracy of calculating shale content by natural gamma value is higher than that by density value. The correlation between porosity and permeability is determined by analyzing the core experimental data, which is used to calculate the permeability of the working area. Then, by using the experimental data of rock electricity in the working area and regressing to get the value of "A ~ (B)" in the Archie formula, a high-precision interpretation model of reservoir parameters is established. Finally, the pore saturation relationship, productivity analysis and empirical statistics are used to determine the lower limit of physical properties of Chang 6 reservoir: porosity is 6.4m, permeability is 0.035mD. (4) according to the selected logging curves sensitive to tight oil, In this paper, a new pore electric parameter ODI, is proposed to identify the fluid properties of tight oil, which is analyzed and compared with acoustic-electric two parameter cross plot method, intrusion characteristic analysis method, three porosity overlap method, differential analysis method, and so on. It is found that the new parameter ODI method is the best method for identifying the fluid properties of dense oil. (5) the above methods are integrated and programmed by Fortran language. A set of fine logging interpretation software (Logtofi). For tight oil of Chang-6 formation in Huqing area was formed on the platform of LEAD. The software runs stably and the processing results are reliable, which meets the requirements of perforating fracturing engineering for the evaluation of tight oil logging.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P618.13;P631.81

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