Fuzzy inference system for identification of geological stratigraphy off Prydz Bay, East Antarctica

The analysis of well logging data plays key role in the exploration and development of hydrocarbon reservoirs. Various well log parameters such as porosity, gamma ray, density, transit time and resistivity, help in classification of strata and estimation of the physical, electrical and acoustical properties of the subsurface lithology. Strong and conspicuous changes in some of the log parameters associated with any particular geological stratigraphy formation are function of its composition, physical properties that help in classification. However some substrata show moderate values in respective log parameters and make difficult to identify the kind of strata, if we go by the standard variability ranges of any log parameters and visual inspection. The complexity increases further with more number of sensors involved. An attempt is made to identify the kinds of stratigraphy from well logs over Prydz bay basin, East Antarctica using fuzzy inference system. A model is built based on few data sets of known stratigraphy and further the network model is used as test model to infer the lithology of a borehole from their geophysical logs, not used in simulation. Initially the fuzzy based algorithm is trained, validated and tested on well log data and finally identifies the formation lithology of a hydrocarbon reservoir system of study area. The effectiveness of this technique is demonstrated by the analysis of the results for actual lithologs and coring data of ODP Leg 188. The fuzzy results show that the training performance equals to 82.95% while the prediction ability is 87.69%. The fuzzy results are very encouraging and the model is able to decipher even thin layer seams and other strata from geophysical logs. The result provides the significant sand formation of depth range 316.0- 341.0 m, where core recovery is incomplete.     

Surface and Borehole Geophysical Methods in Ground Water Investigations

Ground water flow in karst terranes generally occurs in the solution channels of carbonate aquifers. A hydrogeologist may utilize borehole geophysical methods to identify these solution channels in aquifers. Two specific methods that are applicable in karst terrains are:
1. Natural gamma ray logging
2. Borehole caliper logging.
Gamma ray logging can detect the presence of inter-bedded strata in the main limestone unit, such as shale, which emit high levels of gamma radiation. Gamma ray logging can also detect clay deposits in solution channels that may act to restrict the flow of ground water. The areal extent of these rock strata or clay-filled solution channels can be determined when gamma ray logs are conducted at several borehole locations across the site of investigation.
Borehole caliper logging can be employed to determine the presences of solution channels within the aquifer when penetrated by a borehole. In addition, since shale layers and clay filling are less resistant than the surrounding limestone, the caliper log may detect both the presence and the thickness of shale or clay layers in the aquifer.
Gamma ray logs can be used in conjunction with caliper logs to provide data on the stratigraphic location and thickness of solution channels and clay and shale layers within a limestone aquifer. This information is valuable to the hydrogeologist performing investigations at sites located in limestone terranes because ground water flow preferentially occurs along solution channels.     

Spectrometric gamma radiation of shale cores applied to sweet spot discrimination in Eastern Pomerania,Poland

This paper describes the application and calculation of hydrocarbon anomalies in two different boreholes located in Eastern Pomerania (northern Poland). Spectrometric data from borehole geophysical probe (borehole 1) and portable gamma logger (borehole 2) were used to analyze shale formations. The results from borehole 1 presented a statistically significant, moderate correlation between calculated hydrocarbon anomalies and hydrocarbon saturation data obtained from well log interpretation. Borehole 2 has been analyzed focusing on the gamma radiation of the core samples, and the positive results of borehole 1. Hydrocarbon anomalies calculated from spectral gamma radiation are reliable indicators of sweet spots, based solely on a cursory evaluation of core measurements. These preliminary information acquired from gamma-ray measurements could help increase sampling precision of further geochemical analysis.     

Detection of Contaminant Plumes by Borehole Geophysical Logging

Two borehole geophysical methods—electromagnetic induction and natural gamma radiation logs—were used to vertically delineate landfill leachate plumes in a glacial aquifer. Geophysical logs of monitoring wells near two land-fills in a glacial aquifer in west-central Vermont show that borehole geophysical methods can aid in interpretation of geologic logs and placement of monitoring well screens to sample landfill leachate plumes.
Zones of high electrical conductance were delineated from the electromagnetic log in wells near two landfills. Some of these zones were found to correlate with silt and clay units on the basis of drilling and gamma logs. Monitoring wells were screened specifically in zones of high electrical conductivity that did not correlate to a silt or clay unit. Zones of high electrical conductivity that did not correlate to a silt or clay unit were caused by the presence of ground water with a high specific conductance, generally from 1000 to 2370 μS/cm (microsiemens per centimeter at 25 degrees Celsius). Ambient ground water in the study area has a specific conductance of approximately 200 to 400 μS/cm. Landfill leachate plumes were found to be approximately 5 to 20 feet thick and to be near the water table surface.     

跨安宁河断裂带浅孔综合地球物理测井成果分析

利用综合地球物理测井技术测得跨川西安宁河断裂带冕宁—西昌段两个钻孔的电阻率、声波速度、自然电位、自然伽马等4种综合测井曲线,并结合钻孔取芯资料得到了钻孔周围所钻遇岩土层的综合物性参数．本文得到的综合测井解释成果客观真实地反映了安宁河断裂带东、西两盘的介质物性和岩性特征,揭示了断层东、西两盘地层的纵波速度变化、视电阻率值等物性变化特征,为研究安宁河断裂带的物质组成、介质物性、断层结构及其活动状态提供了基础资料．综合地球物理测井技术有望成为监测活动断裂带附近介质物性参数动态变化的一种新手段．      

松科2井东孔营城组高放射性异常层测井响应特征及成因初探

松科2井东孔是松辽盆地科学钻探工程的主体钻孔,按照计划在全井段进行地球物理测井资料采集,为深部资源勘探及白垩纪古气候、古环境研究提供准确和全面的地球物理信息.在诸多测井方法中,自然伽马测井和自然伽马能谱测井能够测量地层的天然放射性强度和铀、钍、钾元素含量等参数,被有效地应用于放射性矿床勘查,尤其是铀资源的勘查与研究;电阻率、声波、密度和中子测井等常规测井和核磁共振成像、电阻率成像、元素俘获谱测井等特殊测井能够获取地层岩性和物性参数等信息,为铀矿勘查提供有力支持.本文利用松科2井东孔自然伽马测井资料来识别高放射性异常层;基于常规测井与特殊测井资料,结合前人的地质研究成果,分析放射性异常层的特征和成因.核测井曲线指示营城组存在两段高放射性异常层,深度分别为3096.8~3102.8 m（I号层）、3168.3~3170.9 m（Ⅱ号层）.I号层自然伽马值最高达360 API,铀含量范围20.5~29.3 ppm,综合测井和岩心资料判断该层为砾岩,具有铀成矿潜力;分析表明,构造条件和后生改造作用是影响I号层铀富集的关键因素,推测断裂-火山活动和盆地抬升剥蚀为含铀地下水及油气运移至I号层提供了通道,油气的后生还原作用最终导致了I号异常层的铀富集.Ⅱ号层自然伽马值最高达250API,钍含量22.4~37.3 ppm,铀含量5.9~11.0 ppm,为集块熔岩及凝灰岩,高放射性异常可能是高钍含量的流纹质成分和粘土矿物对铀的吸附作用导致的.松科2井东孔营城组高放射性异常层具有埋藏深度深、铀含量高等特点,表明松辽盆地深部具有找铀矿前景.     

塔河油田碳酸盐岩缝洞型储层的测井识别与评价方法研究

塔河油田奥陶系以碳酸盐岩为主，油气的主要储渗空间为裂缝和溶蚀孔洞，具有很强的非均质性．本文利用常规及成像测井资料，对碳酸盐岩缝洞型储层的识别与评价方法进行研究．为了综合各种测井方法识别裂缝，建立了综合裂缝概率模型，计算综合裂缝概率指示裂缝的发育程度．利用地层微电阻率扫描成像测井资料进行裂缝和溶蚀孔洞的定性、定量解释．定量计算的裂缝参数为：裂缝密度、裂缝长度、裂缝平均宽度、平均水动力宽度、裂缝视孔隙度；定量计算的溶蚀孔洞参数有：面孔率、孔洞密度．根据缝洞型储层孔隙空间类型及其中子孔隙度、补偿密度、声波、双侧向电阻率的测井响应物性特征，建立缝洞型碳酸盐岩储层复杂孔隙介质解释模型，用于确定裂缝、溶蚀孔洞孔隙度和评价储层．     

Estimating thermal conductivity from core and well log data

The aim of the presented work was to introduce a method of estimating thermal conductivity using well log data. Many petrophysical properties of rocks can be determined both by laboratory measurements and well-logs. It is thus possible to apply geophysical data to empirical models based on relationships between laboratory measured parameters and derive continuous thermal conductivity values in well profiles. Laboratory measurements were conducted on 62 core samples of Meso-Paleozoic rocks from the Carpathian Foredeep. Mathematical models were derived using multiple regression and neural network methods. Geophysical data from a set of seven well logs: density, sonic, neutron, gamma ray, spectral gamma ray, caliper and resistivity were applied to the obtained models. Continuous thermal conductivity values were derived in three well profiles. Analysis of the obtained results shows good consistence between laboratory data and values predicted from well log data.     

地震资料在层序地层学中的应用进展

在层序地层学的发展过程中，地震资料的应用始终起着关键性的作用。在储层规模的高精度层序地层学研究中，地震反射波的运动学、动力学以及统计学特征的应用对解决薄层分析、岩性预测、物性预列、压力预列、含油气性预列等一系列问题提供了可行的手段。尽管该方面的研究取得了一定的进展，但还存在一些问题，本文最后对该方面研究做了简要的评述与展望。     

庐枞盆地科学钻探地球物理测井及深部铀异常的发现

庐枞盆地砖桥科学钻探ZK01孔为深部探测技术与实验研究专项在庐枞盆地施工的钻探验证孔,全井段实施了连续取心和地球物理测井工作.测井工作分三次完成,测井总深度1994.02m.测井项目包括视电阻率、极化率、磁化率、纵波速度、超声成像、自然伽马、密度、井斜、井径、井温、泥浆电阻率、井中三分量磁测等10多种方法,获得了钻孔剖面原位物性参数、钻孔几何形态及井壁超声图像.通过对地球物理测井和钻孔岩心编录等资料的研究,完成了岩性的人工识别与支持向量机判别,建立了钻孔测井解释岩性剖面;通过对矿化地层的测井响应分析,将电阻率和磁化率作为粗安岩矿化的识别标识;根据超声成像测井资料推断本地区深部地层最大水平主应力方向为南北走向.在ZK01孔1500~1900m发现放射性异常,对铀当量大于万分之一的21处异常进行了定量解释,铀矿化段累积厚度93.02m,为庐枞地区深部找铀矿提供了重大线索.     

Calculation of porosity from nuclear magnetic resonance and conventional logs in gas-bearing reservoirs

The porosity may be overestimated or underestimated when calculated from conventional logs and also underestimated when derived from nuclear magnetic resonance (NMR) logs due to the effect of the lower hydrogen index of natural gas in gas-bearing sandstones. Proceeding from the basic principle of NMR log and the results obtained from a physical rock volume model constructed on the basis of interval transit time logs, a technique of calculating porosity by combining the NMR log with the conventional interval transit time log is proposed. For wells with the NMR log acquired from the MRIL-C tool, this technique is reliable for evaluating the effect of natural gas and obtaining accurate porosity in any borehole. In wells with NMR log acquired from the CMR-Plus tool and with collapsed borehole, the NMR porosity should be first corrected by using the deep lateral resistivity log. Two field examples of tight gas sandstones in the Xujiahe Formation, central Sichuan basin, Southwest China, illustrate that the porosity calculated by using this technique matches the core analyzed results very well. Another field example of conventional gas-bearing reservoir in the Ziniquanzi Formation, southern Junggar basin, Northwest China, verifies that this technique is usable not only in tight gas sandstones, but also in any gas-bearing reservoirs.     

Surface NMR within a geophysical study of an aquifer at Haldensleben (Germany)

The surface nuclear magnetic resonance (SNMR) method has been tested at a site in Haldensleben, northern Germany, to assess the suitability of this new method for groundwater exploration and environmental investigations. More information is obtained by SNMR, particularly with respect to aquifer parameters, than with other geophysical techniques. SNMR measurements were carried out at three borehole locations, together with 2D and 1D direct current geoelectrics, as well as ground-penetrating radar, and well logging (induction log, gamma-ray log and pulsed neutron-gamma log). Permeabilities were calculated from the grain-size distributions of core material determined in the laboratory. It is demonstrated that the SNMR method is able to detect groundwater and the results are in good agreement with other geophysical and hydrogeological data. Using the SNMR method, the water content of the unsaturated and saturated zones (i.e. porosity of an aquifer) can be reliably determined. This information and resistivity data permit in situ determination of other aquifer parameters. Comparison of the SNMR results with borehole data clearly shows that the water content determined by SNMR is the free or mobile water in the pores. The permeabilities estimated from the SNMR decay times are similar to those derived from sieve analysis of core material. Thus, the combination of SNMR with geoelectric methods promises to be a powerful tool for studying aquifer properties.     

北京南口-孙河断裂带北段晚第四纪活动的层序地层学研究

文中采用钻探技术对南口-孙河断裂带进行了试验探测研究,并通过层序地层学、岩性岩相分析、磁化率分析与年代测定等方法建立了钻孔联合剖面,进而研究了断层距今60ka以来的多期活动特征,得出断裂带的3个活跃期是60～47kaBP、36～28kaBP与16kaBP以来,其余时段为相对平静期。断裂带的平均垂直位错速率,距今60～37ka之间约为0.35mm/a,37～32ka之间为0mm/a,32～12ka之间为0.78mm/a,12ka以来为0.35mm/a。研究认为,与传统的岩性、沉积相分析方法相比,层序地层学方法在钻孔地层对比与隐伏断层活动分期研究中有一定的优势     

Assessing hydrological model predictive uncertainty using stochastically generated geological models

In distributed and coupled surface water–groundwater modelling, the uncertainty from the geological structure is unaccounted for if only one deterministic geological model is used. In the present study, the geological structural uncertainty is represented by multiple, stochastically generated geological models, which are used to develop hydrological model ensembles for the Norsminde catchment in Denmark. The geological models have been constructed using two types of field data, airborne geophysical data and borehole well log data. The use of airborne geophysical data in constructing stochastic geological models and followed by the application of such models to assess hydrological simulation uncertainty for both surface water and groundwater have not been previously studied. The results show that the hydrological ensemble based on geophysical data has a lower level of simulation uncertainty, but the ensemble based on borehole data is able to encapsulate more observation points for stream discharge simulation. The groundwater simulations are in general more sensitive to the changes in the geological structure than the stream discharge simulations, and in the deeper groundwater layers, there are larger variations between simulations within an ensemble than in the upper layers. The relationship between hydrological prediction uncertainties measured as the spread within the hydrological ensembles and the spatial aggregation scale of simulation results has been analysed using a representative elementary scale concept. The results show a clear increase of prediction uncertainty as the spatial scale decreases. Copyright © 2015 John Wiley & Sons, Ltd.     

Temperature logging in mineral exploration

Although a number of parameters affect the temperature-depth profile in a borehole, temperature measurements have been successfully used to detect and map fracture zones with moving water and massive sulfide mineralization, and they have been used to map lithology. In drill holes without water flow, temperature gradient logs have been used to map lithology where significant thermal conductivity contrasts exist between different materials. Because of the high thermal conductivity of massive sulfides, temperature measurements show significant anomalies near or within mineralized zones and may be used successfully to locate sulfide occurrences. Although temperature measurements may not replace conventional electrical methods in exploration for most massive sulfide deposits, non-conducting and non-polarizable sulfides, such as sphalerite, may be explored for with temperature methods. Electrochemical reactions within massive sulfide deposits may generate sufficient heat to be detected on the temperature-depth profile. Their detection provides information to aid in interpreting self potentials within massive sulfide deposits. Field examples of four applications of temperature measurements in mineral exploration are presented: (1) lithological mapping; (2) fracture detection; (3) direct detection of massive sulfides; (4) use in correcting and interpreting other geophysical logs.     

准噶尔盆地陆东-五彩湾地区石炭系火山岩电性与地震响应特征

勘探实践证实,准噶尔盆地石炭系已成为一套现实勘探层系;陆东-五彩湾地区石炭系火山岩体规模大、分布广,是重要的天然气储集体;火山岩储层有效性主要受不整合、岩性、岩相控制,识别火山结构、火山岩岩性、岩相成为判别储层有效性的关键.由于主要目的层巴塔玛依内山组特殊的三段式火山岩组合层序结构,为通过测井、地震物探手段识别火山岩岩...     

密度测井和中子测井的相关性及其在识别天然气层中的应用

伽马射线与地层介质的康普顿（Ｃｏｍｐｔｏｎ）效应是密度测井的理论基础，介质对伽马射线的康普顿吸收系数取决于介质的原子核性质及其体积密度．（超热或热）中子测井主要反映地层介质的减速性质，而后者主要取决于介质的含氢量．介质含氢量是由介质的组分及其体积密度决定的．本文从上述两种测井方法的测量原理出发，从理论上证明了这两种测井方法并非两种互相独立的测量手段．对于含油气盆地常见沉积岩石及矿物，两种测井测量结果具有相关性．这一结论为密度、中子测井方法组合地质应用提供了理论依据，利用密度－中子测井的相关性可有效地识别轻质油气层特别是天然气层．实例表明，无论水层还是油气层，两种测井曲线均具有良好的相关性．利用这种相关性明显改善了识别天然气层和划分油－气界面的精度．     

Monitoring Well Completion Evaluation with Borehole Geophysical Density Logging

Grout continuity and the location of the bentonite seal and sand pack in PVC-cased monitoring wells can be evaluated with cased-hole geophysical density logs. This method relies upon density contrasts among various completion conditions and annular materials. Notably, the lack of annular material behind pipe (i.e., void space) creates a low-density zone that is readily detected by borehole density measurements.
Acoustic cement bond logging has typically been applied to the evaluation of cement in the annular space of completed oil and gas production wells, and in some cases to ground water monitoring wells. These logs, however, can only be obtained in the fluid-filled portion of the borehole, and their interpretation is severely hindered by the presence of the micro-annulus between casing and cement. The influence of the micro-annulus on cement bond logs can be mitigated in steel-cased wells by pressurizing the wellbore during acquisition of the log, but this procedure is not feasible in PVC-cased monitoring wells. The micro-annulus does not affect cased-hole density logs or their interpretation.
Empirical measurements made in the laboratory with density probes provide information on their depths of investigation and response to specific completion conditions. These empirical data, and general knowledge of the density of annular completion materials (sand, bentonite, cement), are used to support interpretations of cased-hole density logs acquired in the field. Three field examples demonstrate the applicability of geophysical density logs to the evaluation of PVC-cased monitoring well completions.     

Geophysical Assessment of Groundwater Potential: A Case Study from Mian Channu Area,Pakistan

An integrated study using geophysical method in combination with pumping tests and geochemical method was carried out to delineate groundwater potential zones in Mian Channu area of Pakistan. Vertical electrical soundings (VES) using Schlumberger configuration with maximum current electrode spacing (AB/2 = 200 m) were conducted at 50 stations and 10 pumping tests at borehole sites were performed in close proximity to 10 of the VES stations. The aim of this study is to establish a correlation between the hydraulic parameters obtained from geophysical method and pumping tests so that the aquifer potential can be estimated from the geoelectrical surface measurements where no pumping tests exist. The aquifer parameters, namely, transmissivity and hydraulic conductivity were estimated from Dar Zarrouyk parameters by interpreting the layer parameters such as true resistivities and thicknesses. Geoelectrical succession of five‐layer strata (i.e., topsoil, clay, clay sand, sand, and sand gravel) with sand as a dominant lithology was found in the study area. Physicochemical parameters interpreted by World Health Organization and Food and Agriculture Organization were well correlated with the aquifer parameters obtained by geoelectrical method and pumping tests. The aquifer potential zones identified by modeled resistivity, Dar Zarrouk parameters, pumped aquifer parameters, and physicochemical parameters reveal that sand and gravel sand with high values of transmissivity and hydraulic conductivity are highly promising water bearing layers in northwest of the study area. Strong correlation between estimated and pumped aquifer parameters suggest that, in case of sparse well data, geophysical technique is useful to estimate the hydraulic potential of the aquifer with varying lithology.     

A new look at multiphase invasion with applications to borehole resistivity interpretation

In well log interpretation, it is frequently necessary to correct logs for invasion. Invasion occurs in permeable formations when there is a radial differential pressure (RDP) between the borehole and formation. Other factors on which invasion depend include saturation, mobility, pressure (RDP) and capillary pressure, permeability and viscosity of fluids, and temperature transient effects associated with the mud filtrate injected into the formation. Thus, simulation of realistic invasion is not an easy task. This work reviews the famous Buckley–Leverett mathematical model in cylindrical coordinates appropriate for borehole geometries. The model predicts multiphase invasion in porous media when gravity, capillary pressure, and mud cake can be neglected. One application is to correct logging while drilling (LWD) and wireline resistivity logs for time-dependent invasion and formation temperature effects. This is important, for example, when there are possible large differences in formation and mud temperature. Modeling studies show these effects can be large enough to noticeably influence resistivity logs. However, after correction, difference in LWD and wireline logs arising from the time-dependent heat process are explained. Thus, the method, when coupled to a time-dependent heat flow model, and a response function formulation of resistivity, yields new insight into the influence of thermal and electrical transients in log interpretation.