欠平衡和超平衡测井条件下气层的中子和密度测井响应特征——以西部某油田砂岩气藏为例

研究气层在欠平衡和超平衡测井条件下响应特征的差异,对于欠平衡条件下天然气储层的评价和测井资料的应用具有指导意义.利用Monte Carlo数值模拟技术,计算得到了在欠平衡和超平衡测井条件下,补偿中子和密度测井随井眼直径、地层孔隙度和含气饱和度的变化关系.从而得出,在井眼直径较小时,密度和中子测井,在超平衡测井或欠平衡测井条件下,对气层的响应特征基本相同,欠平衡密度测井资料可以正常应用,不需要做校正处理;当井眼直径较大时,井内介质对探测器的影响不同,需要对欠平衡测井资料做井径的影响校正.     

PNN测井方法的蒙特卡罗模拟结果研究

PNN（脉冲中子-中子）测井是利用He-3管记录热中子时间谱，通过获取地层宏观吸收截面来确定含水饱和度的方法.本文利用蒙特卡罗方法（MCNP-4C）模拟了不同地层水矿化度、孔隙度、饱和度和井眼等条件下的热中子时间谱，研究了地层宏观吸收截面与地层水矿化度的关系，从理论上确定PNN测井适合的地层水矿化度范围约为10～100 g/L，在地层水矿化度为50 g/L时适于测井的孔隙度下限约为10%.井眼流体不同，地层的热中子计数率不同，但对地层宏观吸收截面影响较小.利用远近探测器热中子计数比值可以确定孔隙度，并提出了根据不同岩性和饱和度的地层宏观吸收截面与孔隙度的交会图来评价骨架、含水饱和度以及确定油层、水层和气层的方法.PNN测井方法在低地层水矿化度、低孔隙度地层比其他方法具有优势.     

脉冲中子双伽马谱饱和度测井方法及数值模拟研究

脉冲中子双伽马谱饱和度测井方法是利用特定的脉冲和测量时序设计,采用远、近伽马探测器记录非弹性散射和俘获伽马能谱以及伽马射线时间谱,通过获取C/O和地层宏观俘获截面等信息来确定地层含油饱和度.采用大直径仪器和BGO晶体探测器时,其采集的非弹性散射和俘获伽马能谱计数统计性优于国外仪器,重复脉冲发射中子后伽马射线时间谱仍满足指数衰减规律,且能使伽马射线时间谱的道计数累积,计数统计性好于常规中子寿命测井,得到的地层宏观俘获截面与单脉冲发射近似相同.在地层孔隙度未知的情况下,利用C/O和地层宏观俘获截面交会技术可以定量确定含油饱和度.     

利用俘获伽马能谱确定饱和度的可行性及蒙特卡罗模拟研究

脉冲中子伽马能谱测井是利用多探测器获取非弹性散射伽马、热中子俘获伽马能谱及伽马时间谱,通过C/O和地层宏观吸收截面来确定饱和度,但俘获伽马能谱的信息没有得到很好利用,在地层水矿化度较高的情况下,由于俘获伽马能谱的Si,Ca和H的能窗内总的伽马计数与Fe能窗内的伽马计数比值与含氯量有关,因此由俘获伽马能谱确定含水饱和度是可行的,利用MCNP(蒙特卡罗方法)模拟研究了三能窗计数与Fe能窗计数比值与饱和度、岩性、孔隙度、泥质含量、井眼持水率、地层水矿化度以及井眼套管等条件下的关系,为在高矿化度地区利用俘获伽马能谱确定饱和度的可行性在理论上提供了支持.     

矿化度界面对震电测井波场的影响

震电测井的现场试验中测得电磁首波幅值大于伴随电场幅值,这种情况在前人的理论模拟和模型井测量中从未出现.本文研究矿化度界面对震电测井波场的影响,基于Pride方程和边界连续条件模拟了震电测井波场,其中井外孔隙地层可以视为均匀的或者是径向分层的.计算结果表明:对于均匀孔隙地层,当井内流体矿化度大于井外地层孔隙流体矿化度时,电磁首波幅值可以比伴随斯通利波的电场幅值还大;井内流体矿化度与井外地层孔隙流体矿化度的比值越大,电磁首波相对伴随斯通利波的电场的幅值越大.对于径向分层地层,当井内流体矿化度大于内层地层的孔隙流体矿化度时,电磁首波幅值可以比伴随斯通利波的电场幅值还大;当外层地层矿化度小于内层地层矿化度时,电磁首波幅值可以比伴随斯通利波的电场幅值还大;增加内层地层厚度,电场全波幅值减小,电磁首波相对伴随电场的幅值减小.本文的模拟结果表明,震电测井中确实会出现电磁首波幅值比伴随电场幅值还大的情况,这对于解释震电测井的测量结果具有指导意义.     

核磁共振测井在火成岩地层应用的适应性分析

火成岩岩石具有高磁化率特征,与沉积岩差别明显,岩石的高磁化率会对核磁共振信号产生显著影响,开展核磁共振测井在火成岩地层应用的适应性分析研究,为广泛使用核磁共振测井用于火成岩储层评价提供参考.采用理论模拟、实验分析及实际测井资料相结合的方法,分析了高磁化率岩石的核磁共振响应特征.分析结果表明,火成岩岩石具有很高的磁化率,从酸性火成岩到基性火城岩,岩石的磁化率一般是逐渐增大的.高磁化率岩石孔隙内部会产生强梯度磁场,孔隙内部的磁场梯度越强,核磁共振的T2谱前移越明显,核磁信号衰减幅度也越大,核磁分析孔隙度与常规分析的孔隙度误差也越大;相同岩石磁化率情况下,岩石孔径越小,岩石孔隙内部磁场梯度越强,核磁信号衰减越大,核磁共振测井计算的孔隙度也越低.因此,核磁共振测井与岩性有关系,核磁共振测井会受到高磁化率岩石的显著影响.核磁共振测井在部分火成岩,尤其在中基性火成岩和小孔径火成岩储层中应用具有很大的局限性.     

润湿性对岩石电性的影响

本文综述了润湿性对岩石电阻率和阿尔奇饱和度指数以及地层因素的影响,这些参数是利用电测井资料评价含油饱和度的重要参数。润湿性影响流体在孔隙中的微观分布,因而影响岩石的电阻率。阿尔奇饱和度指数ｎ在水湿地层和清洗过的岩心中,一般大约为２,在保持为原始状态、非水湿的岩心及地层中,通常大于２,在低含水饱和度的均匀油湿岩心中,ｎ可以达到１０或更大。由于在油湿岩心中,当含水饱和度低时,一部分水被不导电的油圈闭直     

测井中子发生器

测井中子发生器作为中子源目前应用于地层岩性、孔隙度、含油饱和度及地层动态监测测井,是C/O测井、中子寿命测井、氧活化水流测井以及脉冲伽马能谱测井等仪器的核心部件.简要介绍了几种国外测井中子发生器的产品.阐述了测井中子发生器的工作原理、基本构成及关键技术.介绍了中国石油测井有限公司测井仪器厂研制生产的中子发生器产品系列.脉冲中子伽马测井是当前油田生产动态监测普遍采用的技术.介绍了实现宽频带、锐截止的技术途径以及目前所取得的成果.中子发生器产额的稳定性及开机重复率指标的提高将会极大拓宽其应用领域,尤其在使用同位素中子源的领域,可以替代同位素中子源发挥独到的优势.介绍了中国石油测井有限公司在中子发生器产额稳定方面所做的工作和取得结果,并列举了稳定产额后的中子发生器在元素分析领域所取得的成功试验.     

金属套管井中电磁测井响应的数值计算

分析了金属套管井中有限尺寸线圈的电磁响应特征,讨论了井眼泥浆参数、套管参数和不同线圈尺寸对电磁测井响应的影响,考察了金属套管中电磁测井对地层电阻率变化的灵敏度.径向非均匀介质的模拟计算表明,在套管井中井眼泥浆对电磁测井的影响较大,必须进行校正.在低频条件下,井间测量响应中金属套管与地层的电磁响应是非耦合的,两者可以分离.在套管参数一定时,套管响应与地层的响应的比值近似一个常数.电磁响应对地层电阻变化的灵敏度分析显示,井间电磁测量在储层研究尺度对地层电阻率变化响应灵敏,套管引起的衰减稳定.在其它参数相同的前提下,线圈直径的增大有助于有效电磁响应信号的增强,给大井间距测量提供了可能.不同磁导率金属套管的电磁响应分析表明,电磁测井中,采用非磁性或弱磁性套管要优于一般的铁磁性套管.     

双频介电测井方法与实现

介电测井是一种测量地层中电磁波传播速度和相位差的测井方法,能计算出地层的介电常数和电导(阻)率,在油田广泛推广用于评价地层孔隙度和含水饱和度,以区分油、水、气层.本文结合在国产数控测井地面系统配接Atlas1531/1532介电测井仪的经验,详细介绍了介电的测井原理和数据处理,给出了测井方法的具体实现和应用.该方法已经在多种地面系统和测试台架得到验证,通过现场测井取得良好的应用效果.     

A modelling of effects of variable saturation in invaded zone near borehole on neutron tool response in the gas-bearing Miocene formations of the Carpathian foredeep,Poland

Invasion of mud filtrate from the borehole into the surrounding formation can significantly alter the response of logging tools.In this paper the neutron tool response was calculated for a gas-bearing rock crossed by the borehole.The invaded zone is characterized by variable fluid and gas saturation and is defined by a specific hyperbolic function. The saturation function is based on the characteristics of Polish Carpathian Foredeep Miocene formations reached in gas-bearing rocks. The whole system including neutron tool equipped with Am-Be neutron source and a set of neutron detectors, borehole, invaded zone, and virgin zone, was numerically modeled and used as the input to the Monte-Carlo neutron transport code. The response of each detector was calculated for different combinations of porosity and saturation of invaded zone and virgin zone.     

Neutron and density logging responses to gas reservoir for well-balanced and under-balanced logging:Gas reservoirs of sandstone in a western China field

Studying the response differences between neutron and density logging of gas reservoir for well-balanced and under-balanced logging will be of significance in evaluation of gas reservoir under the under-balanced condition and application of logging data. With Monte Carlo simulation technique,the paper obtains the relationship between neutron and density logging measurement and borehole di-ameter,porosity or gas saturation for well-balanced and under-balanced logging. The conclusions show that the response trend of under-balanced logging to gas reservoirs agrees with that of well-balanced logging with small borehole,and under-balanced logging data can be used usually as well-balanced logging data. When borehole diameter is large,under-balanced logging data should be corrected for the influences of borehole.     

Inversion of nuclear well-logging data using neural networks

This work looks at the application of neural networks in geophysical well‐logging problems and specifically their utilization for inversion of nuclear downhole data. Simulated neutron and γ‐ray fluxes at a given detector location within a neutron logging tool were inverted to obtain formation properties such as porosity, salinity and oil/water saturation. To achieve this, the forward particle‐radiation transport problem was first solved for different energy groups (47 neutron groups and 20 γ‐ray groups) using the multigroup code EVENT. A neural network for each of the neutron and γ‐ray energy groups was trained to re‐produce the detector fluxes using the forward modelling results from 504 scenarios. The networks were subsequently tested on unseen data sets and the unseen input parameters (formation properties) were then predicted using a global search procedure. The results obtained are very encouraging with formation properties being predicted to within 10% average relative error. The examples presented show that neural networks can be applied successfully to nuclear well‐logging problems. This enables the implementation of a fast inversion procedure, yielding quick and reliable values for unknown subsurface properties such as porosity, salinity and oil saturation.     

砂砾岩储层测井评价研究

砂砾岩储层岩性复杂、非均质性强,储层间非渗透性隔层类型多,储层基质孔隙度有时很低,从而使测井资料准确划分有效储层有很大的难度;砂砾岩体储层母岩类型变化大,岩石骨架参数很难确定,电阻率测量受岩石骨架、粘土含量和孔隙结构影响严重,反映储层孔隙流体性质的信息弱,使储层流体性质难以判断,油、气、干层界限的电性特征极不明显.通过核磁共振和井壁微电阻扫描成像测井,可以直观观察到岩石成分和粒径的变化,通过T2谱分布直观显示核磁测量井段的孔径分布,计算出各种类型孔隙度和渗透率参数,为砂砾岩有效划分储层和测井评价提供了可靠的依据.     

Inversion of time-dependent nuclear well-logging data using neural networks

The purpose of this work was to investigate a new and fast inversion methodology for the prediction of subsurface formation properties such as porosity, salinity and oil saturation, using time‐dependent nuclear well logging data. Although the ultimate aim is to apply the technique to real‐field data, an initial investigation as described in this paper, was first required; this has been carried out using simulation results from the time‐dependent radiation transport problem within a borehole. Simulated neutron and γ‐ray fluxes at two sodium iodide (NaI) detectors, one near and one far from a pulsed neutron source emitting at ～14 MeV, were used for the investigation. A total of 67 energy groups from the BUGLE96 cross section library together with 567 property combinations were employed for the original flux response generation, achieved by solving numerically the time‐dependent Boltzmann radiation transport equation in its even parity form. Material property combinations (scenarios) and their correspondent teaching outputs (flux response at detectors) are used to train the Artificial Neural Networks (ANNs) and test data is used to assess the accuracy of the ANNs. The trained networks are then used to produce a surrogate model of the expensive, in terms of computational time and resources, forward model with which a simple inversion method is applied to calculate material properties from the time evolution of flux responses at the two detectors. The inversion technique uses a fast surrogate model comprising 8026 artificial neural networks, which consist of an input layer with three input units (neurons) for porosity, salinity and oil saturation; and two hidden layers and one output neuron representing the scalar photon or neutron flux prediction at the detector. This is the first time this technique has been applied to invert pulsed neutron logging tool information and the results produced are very promising. The next step in the procedure is to apply the methodology to real data.     

提高碳氧比能谱测井分辨率的反褶积法

在地层孔隙度比较低的情况下,由于受放射性统计涨落以及地层中其它核反应所产生的伽马射线的影响,传统的碳氧比能谱测井解释的分辨率不高。这些伽马射线形成了碳氧比能谱测井的本底,本底越高,碳氧比值精度越差。因此,必须设法降低本底值来提高谱线的分辨率。本文通过反褶积技术来提高谱线的分辨率,应用修正的高斯函数作为系统响应函数对测井曲线进行反褶积;采用修正的 Blackman 窗函数来消除放射性统计涨落的高频噪声,通过实际资料验证,利用"反褶积-开窗"法对碳氧比能谱测井的谱线进行处理以及用变系数法求取非弹性散射伽马谱,提高了测井资料对油、水储集层的分辨率,对油田的合理开发及油藏管理具有重要的现实意义。     

过套管地层电阻率曲线环境影响校正方法研究

过套管电阻率测井是在金属套管井中测量地层电阻率的一种电法测井技术,其测量结果受套管、层厚/围岩、水泥环等井眼环境因素的影响,所以在进行过套管电阻率测井资料解释时必须进行测井环境影响因素校正.本文在论述过套管电阻率测井原理的基础上,针对大庆油田引进的俄罗斯过套管电阻率测井仪器ECOS,分别考察了层厚/围岩、水泥环对测量结果的响应规律,利用正演模拟方法研制完成了层厚/围岩影响校正图版以及水泥环影响校正图版.在计算机上实现了层厚/围岩、水泥环影响校正的算法,并利用模型算例和测井实例验证了本文方法的合理性.该方法能够减少水泥环的影响,提高层厚小于1.0 m薄层电阻率的测量精度,为过套管电阻率测井资料正确解释提供了保障.     

利用自然电位与自然伽马测井曲线划分沉积相带及储层分布

自然电位、自然伽马测井曲线形态和特征与沉积相带及其储集砂体关系密切,它们对不同岩性地层特征响应十分敏感.利用自然伽马、自然电位同步减小的较大幅度评价识别渗砂层,指示划分水下分流河道主体沉积微相带;利用自然伽马、自然电位减小的幅度差评价识别低渗砂、致密砂层,指示划分水下分流河道堤泛(侧翼)沉积微相带;并以自然电位比自然伽马减小幅度的相对细小差异识别油水层.在安塞油田沿河湾地区长6自然伽马、自然电位曲线划分沉积相带及储层的应用中,建立了自然伽马、自然电位划分储层的下限标准,有效地评价了特低渗透储层沉积微相带及储层类型,提高和扩大了测井曲线的应用及效果.