共查询到20条相似文献，搜索用时 140 毫秒
1.
为了丰富和发展天然气水合物的定性识别方法和定量解释技术,研究试验了由测井资料计算孔隙水的氯离子质量浓度并确定水合物饱和度的方法。根据南海某海域水合物储层的测井特征和孔隙水氯离子质量浓度化验结果,证实了氯离子质量浓度与水合物饱和度有密切关系。利用孔隙度测井和电阻率测井资料,计算了孔隙水的氯离子质量浓度,由此确定了天然气水合物的饱和度。为了提高测井解释的可靠性,用回归方法建立了储层的孔隙度解释公式,确定了相应的阿尔奇参数m和a,用滤波和插值的方法得到了目的层的氯离子质量浓度的背景值。初步应用表明,由测井解释氯离子质量浓度计算的水合物饱和度与化验结果的平均值和分布范围都有较好的匹配。 相似文献
2.
《China Geology》2019,2(1):49-55
Although the Shenhu sea area has been a topic and focus of intense research for the exploration and study of marine gas hydrate in China, the mechanism of gas hydrate accumulation in this region remains controversial. The formation rate and evolution time of gas hydrate are the critical basis for studying the gas hydrate formation of the Shenhu sea area. In this paper, based on the positive anomaly characteristics of chloride concentration that measured in the GMGS3-W19 drilling site is higher than the seawater value, we numerically simulated the gas hydrate formation time of GMGS3-W19 site. The simulation results show that the gas hydrate formation rate positively correlates with the chloride concentration when the hydrate reaches the measured saturation. The formation time of gas hydrate in the GMGS3-W19 site is approximately 30 ka. Moreover, the measured chloride concentration is consistent with the in-situ chloride concentration, indicating that the formation rate of gas hydrate at the GMGS3-W19 site is very fast with a relatively short evolution time.©2019 China Geology Editorial Office. 相似文献
3.
地球物理测井在天然气水合物勘探中的应用 总被引：12，自引：0，他引：12
天然气水合物是一种潜在的巨大能源。美国、日本、俄罗斯等发达国家在该领域已经进行了大量的研究工作，试图从各个角度去探测天然气水合物的存在并评价其蕴藏量。地球物理测井在天然气水合物探测与储量评价领域发挥了重要作用并且随着以勘探天然气水合物为目的的钻井的增多，日益受到重视。基于国内在该领域研究较少的现状，综述了国外地球物理测井技术在天然气水合物勘探中的应用，详细介绍了常规测井方法定性识别和定量评价天然气水合物储层的孔隙度、饱和度方法和技术，基于含天然气水合物储层的碳氧比能谱测井解释模型以及成像测井在含天然气水合物井段的测井响应。并在此基础上分析了我国在该领域的研究思路。 相似文献
4.
《China Geology》2022,5(3):393-401
This study focused on the quantitative analysis of the petrophysical parameters in characterizing the reservoir properties of the Srikail gas field using multi-scale wireline logs. Petrophysical parameters (shale volume, porosity, water saturation and hydrocarbon saturation) were estimated from the combination of gamma ray log, resistivity log, density log and neutron log for three hydrocarbon (gas)-bearing zones at well#3. At the first time, log records at 0.1 m and 0.2 m intervals were read for this study. Result showed the average shale volume is 21.07%, 53.67% and 51.71% for zone-1, zone-2 and zone-3, respectively. For these zones, the estimated average porosity was 35.89%, 29.83% and 28.76%, respectively. The average water saturation of 31.54%, 16.83% and 23.39% and average hydrocarbon saturation of 68.46%, 83.17% and 76.61% were calculated for zone-1, zone-2 and zone-3, respectively. Thus zone-2 is regarded the most productive zone of well#3. It was found that the values of some parameters (porosity, hydrocarbon saturation and permeability) are higher than the existing results. Therefore, this study confirmed that the log reading at minute/close interval provides better quantitive values of the reservoir’s petrophysical properties. It is expected that this result will contribute to the national gas field development program in future.©2022 China Geology Editorial Office. 相似文献
5.
海域孔隙型天然气水合物储层中,水合物主要以颗粒胶结、包裹胶结、骨架支撑、孔隙悬浮4种赋存模式充填沉积物孔隙,水合物饱和度与赋存模式的不同导致了储层弹性和电性的差异,利用声波和电阻率测井资料联合处理可以进行水合物赋存模式的定量表征。首先利用Simandoux公式计算水合物饱和度,然后通过有效介质模型构建的岩石物理模板识别水合物赋存模式,最后计算储层中不同赋存模式水合物的相对占比。以全球范围内三个典型区域(中国南海神狐海域、北美Blake海台、新西兰Hikurangi边缘)为例,利用水合物储层的实际钻探资料,对水合物赋存模式进行定量分析：(1)中国南海神狐海域SH2站位储层中,水合物主要以骨架支撑模式产出,约占水合物总量的64%;(2)Blake海台994C站位储层中,水合物主要为颗粒胶结和包裹胶结模式,分别占总量的27%和51%;(3)Hikurangi边缘U1518B站位的水合物储层中,水合物主要为包裹胶结和骨架支撑模式,分别占总量的32%和47%。前人针对水合物形成和赋存模式的实验研究显示,水合物更易以颗粒胶结、包裹胶结和骨架支撑模式赋存,从侧面验证了上述分析结果的可靠性。本研究使用... 相似文献
6.
南海神狐海域天然气水合物地球物理测井评价 总被引：18，自引：6，他引：12
我国南海北部神狐海域的天然气水合物钻探过程中采用电缆测井来识别水合物储层,使用了自然伽马、电阻率、密度、声波全波列、井温—井方位、井径及中子等7种测井仪器,测量的参数主要包括地层的自然放射性、深(浅)探测电阻率、密度、纵波速度、温度、井径、长(短)源距中子计数率及井眼方位,这些参数对于确定天然气水合物的赋存位置起到非常重要的作用。详细介绍了神狐海域天然气水合物测井的工作方法和基本步骤,参照国外相关分析,针对其中某站位钻孔ZK1的地层孔隙度及天然气水合物饱和度进行初步评价。结果表明密度测井和电阻率测井两种方法求出的地层孔隙度的一致性较好,而计算的天然气水合物饱和度值则高于孔隙水淡化分析得到的值,因此尚需结合研究区岩心分析数据来提高解释精度。研究结果对未来我国的天然气水合物测井评价具有指导意义。 相似文献
7.
Tight clastic reservoirs are characterized with low porosity and low permeability, which reduce contributions of reservoir fluids to geophysical logging responses, and it is more difficult to identify fluids of the reservoir. Therefore, it is necessary to study log interpretation and comprehensive evaluation methods for such clastic reservoirs. This study focused on geological characteristics of tight clastic reservoir of Yingcheng formation in Lishu Fault. Based on logs sensitivity to fluids, some fluid typing methods were discussed in detail, which included log curve overlap method, acoustic time overlapping method from density and neutron logs, porosity difference and ratio method, porosity-resistivity crossplot, normal distribution method, and other methods, and some effective fluid evaluation method were established and optimized. These above-mentioned methods were verified, which could achieve layer qualitative identification of tight sandstone in the study area. By contrast, two logs overlapping methods, porosity difference and ratio method, resistivity-porosity crossplot are more suitable for natural gas reservoirs, while porosity difference and ratio method, porosity-resistivity chart, normal distribution method are more suitable for oil and water reservoirs. The case study suggests that these methods be combined to archive more correct log interpretation in the study area, which provides important decision-making reference for oilfield exploration and development. 相似文献
8.
祁连山冻土区DK-1钻孔天然气水合物测井
响应特征和评价 总被引：2，自引：0，他引：2
祁连山冻土区天然气水合物科学钻探工程中采用电缆测井识别水合物储层,使用了三侧向、声波速度、自然伽马、长源距伽马伽马、井温、井径、井斜7种测井仪器,所获参数有利于确定天然气水合物的赋存位置。根据DK-1钻孔中获得水合物样品层段的测井曲线总结出水合物测井响应的特征,并参考国外的相关资料,对DK-1地层的孔隙度和天然气水合物饱和度进行了初步评价。结果表明,电阻率方法求出的地层孔隙度与岩心分析值较为接近,而用标准阿尔奇方程和修正的阿尔奇方程计算出的天然气水合物的饱和度值相差较大。因此,尚需对水合物岩心进行深入的分析测试,建立适当的岩石物理模型,来指导中国天然气水合物的测井评价。 相似文献
9.
祁连山冻土区天然气水合物科学钻探工程中采用电缆测井识别水合物储层,使用了三侧向、声波速度、自然伽马、长源距伽马伽马、井温、井径、井斜7种测井仪器,所获参数有利于确定天然气水合物的赋存位置。根据DK-1钻孔中获得水合物样品层段的测井曲线总结出水合物测井响应的特征,并参考国外的相关资料．对DK-1地层的孔隙度和天然气水合物饱和度进行了初步评价。结果表明,电阻率方法求出的地层孔隙度与岩心分析值较为接近,而用标准阿尔奇方程和修正的阿尔奇方程计算出的天然气水合物的饱和度值相差较大。因此,尚需对水合物岩心进行深入的分析测试,建立适当的岩石物理模型．来指导中国天然气水合物的测井评价． 相似文献
10.
基于电阻率测井的天然气水合物饱和度估算及估算精度分析 总被引：1，自引：0，他引：1
利用电阻率测井基于阿尔奇公式能够估算孔隙空间中天然气水合物饱和度。基于神狐海域的水合物钻井(SH2站位)资料,利用密度反演的地层孔隙度与地层因子交会图,计算出估算水合物饱和度的阿尔奇常数。假定地层中水合物呈均匀分布,利用电阻率资料计算的该站位水合物饱和度平均为24%,最高达44%,水合物饱和度在垂向上具有明显的不均匀性;利用孔隙水氯离子异常估算的SH2站位水合物饱和度平均值为25%,最高值达48%,厚度为25 m。这两种方法估算的水合物饱和度基本吻合,利用电阻率资料计算的饱和度与阿尔奇常数和饱和度指数及孔隙度有关。 相似文献
11.
《地学前缘(英文版)》2019,10(3):1113-1124
Estimation of petrophysical parameters is an important issue of any reservoirs. Porosity, volume of shale and water saturation has been evaluated for reservoirs of Upper Assam basin, located in northeastern India from well log and seismic data. Absolute acoustic impedance (AAI) and relative acoustic impedance (RAI) are generated from model based inversion of 2-D post-stack seismic data. The top of geological formation, sand reservoirs, shale layers and discontinuities at faults are detected in RAI section under the study area. Tipam Sandstone (TS) and Barail Arenaceous Sandstone (BAS) are the main reservoirs, delineated from the logs of available wells and RAI section. Porosity section is obtained using porosity wavelet and porosity reflectivity from post-stack seismic data. Two multilayered feed forward neural network (MLFN) models are created with inputs: AAI, porosity, density and shear impedance and outputs: volume of shale and water saturation with single hidden layer. The estimated average porosity in TS and BAS reservoir varies from 30% to 36% and 18% to 30% respectively. The volume of shale and water saturation ranges from 10% to 30% and 20% to 60% in TS reservoir and 28% to 30% and 23% to 55% in BAS reservoir respectively. 相似文献
12.
Well log analysis provides the information on petrophysical properties of reservoir rock and its fluid content. The present study depicts interpretation of well log responses such as gamma ray, resistivity, density and neutron logs from six wells, namely W-1, W-2, W-9, W-12, W-13 and W-14 under the study area of Krishna-Godavari (K-G) basin. The logs have been used primarily for identification of lithology and hydrocarbon-bearing zones. The gamma ray log trend indicates deposition of cleaning upward sediment. Coarsening upward, clayey-silty-sandy bodies have been evidenced from the gamma ray log. Gas-bearing zones are characterised by low gamma ray, high deep resistivity and crossover between neutron and density logs. Total 14 numbers of hydrocarbon-bearing zones are identified from wells W-9, W-12, W-13 and W-14 using conventional log analysis. Crossplotting techniques are adopted for identification of lithology and fluid type using log responses. Crossplots, namely P-impedance vs. S-impedance, P-impedance vs. ratio of P-wave and S-wave velocities (Vp/Vs) and lambda-mu-rho (LMR), have been analysed to discriminate between lithology and fluid types. Vp/Vs vs. P-impedance crossplot is able to detect gas sand, brine sand and shale whereas P-impedance vs. S-impedance crossplot detects shale and sand trends only. LMR technique, i.e. λρ vs. μρ crossplot is able to discriminate gas sand, brine sand, carbonate and shale. The LMR crossplot improves the detectability and sensitivity of fluid types and carbonate lithology over other crossplotting techniques. Petrophysical parameters like volume of shale, effective porosity and water saturation in the hydrocarbon-bearing zones in these wells range from 5 to 37%, from 11 to 36 and from 10 to 50% respectively. The estimated petrophysical parameters and lithology are validated with limited core samples and cutting samples from five wells under the study area. 相似文献
13.
《China Geology》2020,3(2):210-220
Shenhu Area is located in the Baiyun Sag of Pearl River Mouth Basin, which is on the northern continental slope of the South China Sea. Gas hydrates in this area have been intensively investigated, achieving a wide coverage of the three-dimensional seismic survey, a large number of boreholes, and detailed data of the seismic survey, logging, and core analysis. In the beginning of 2020, China has successfully conducted the second offshore production test of gas hydrates in this area. In this paper, studies were made on the structure of the hydrate system for the production test, based on detailed logging data and core analysis of this area. As to the results of nuclear magnetic resonance (NMR) logging and sonic logging of Well GMGS6-SH02 drilled during the GMGS6 Expedition, the hydrate system on which the production well located can be divided into three layers: (1) 207.8–253.4 mbsf, 45.6 m thick, gas hydrate layer, with gas hydrate saturation of 0–54.5% (31% av.); (2) 253.4–278 mbsf, 24.6 m thick, mixing layer consisting of gas hydrates, free gas, and water, with gas hydrate saturation of 0–22% (10% av.) and free gas saturation of 0–32% (13% av.); (3) 278–297 mbsf, 19 m thick, with free gas saturation of less than 7%. Moreover, the pore water freshening identified in the sediment cores, taken from the depth below the theoretically calculated base of methane hydrate stability zone, indicates the occurrence of gas hydrate. All these data reveal that gas hydrates, free gas, and water coexist in the mixing layer from different aspects. 相似文献
14.
15.
Yudhvir Singh Rajesh R. Nair Harmandeep Singh Prattya Datta Priyank Jaiswal Pawan Dewangan T. Ramaprasad 《Arabian Journal of Geosciences》2016,9(5):415
Stepwise linear regression, multi-layer feed forward neural (MLFN) network method was used to predict the 2D distribution of P-wave velocity, resistivity, porosity, and gas hydrate saturation throughout seismic section NGHP-01 in the Krishna-Godavari basin. Log prediction process, with uncertainties based on root mean square error properties, was implemented by way of a multi-layer feed forward neural network. The log properties were merged with seismic data by applying a non-linear transform to the seismic attributes. Gas hydrate saturation estimates show an average saturation of 41 % between common depth point (CDP) 600 and 700 and an average saturation of 35 % for CDP 300–400 and 700–800, respectively. High gas hydrate saturation corresponds to high P-wave velocity and high resistivity except in a few spots, which could be due to local variation of permeability, temperature, fractures, etc. 相似文献
16.
Miraj Khan Mohammad Arif Nowrad Ali Mohammad Yaseen Ammar Ahmed Syed Mamoon Siyar 《Arabian Journal of Geosciences》2016,9(5):425
The Eocene rock units of the Qadirpur field, Central Indus Basin (Pakistan), are investigated petrophysically for their detailed reservoir characterization. The different petrophysical parameters determined include the following: true resistivity, shale volume, total porosity, effective porosity, density and neutron porosity, water and hydrocarbon saturation, bulk volume of water, lithology, gas effect, P-wave velocity, movable hydrocarbon index and irreducible water saturation and integrated with different cross-plots. The Eocene reservoirs are excellent with high effective porosity (2–32 %) and hydrocarbon saturation (10–93 %). Among these, the Sui Upper Limestone is an overall a poor reservoir; however, it has some hydrocarbon-rich intervals with high effective porosity and better net pay. All the net pay zones identified show low and variable shale volume (5–30 %). The secondary porosity has added to the total and effective porosities in these reservoirs. The main contributors to the porosity are the chalky, intercrystalline and vuggy/fracture types. The thickness of the reservoirs zones ranges from 4.5 to 62 m. These reservoirs are gas-producing carbonates with almost irreducible water saturation (0.002–0.01) and are likely to produce water-free hydrocarbons. The lower values of moveable hydrocarbon index (0.07–0.9) show that the hydrocarbons are moveable spontaneously to the well bore. The proposed correlation model shows that the reservoirs have an inclined geometry and are a part of an anticlinal trap. 相似文献
17.
地堑式断陷盆地储层流体综合识别——以伊通盆地岔路河断陷为例 总被引：2，自引：0，他引：2
伊通盆地岔路河断陷古近系为地堑式断陷盆地沉积,其储层主要为重力流成因的湖泊水下扇,具有物源近、堆积速率快、岩性复杂多变的特征,加之后期成岩作用的影响,造成这类砂体物性变异系数大,非均质程度高。储层内部含流体时,流体性质难以识别,易造成测井解释上油气水层的误判。为了能够应用常规测井资料评价此类油气储层,提高测井解释的成功率,通过综合分析本区储层岩性、物性和含油气性特征,结合试油结果建立了本区岩性、物性及含油气性解释模型。岔路河断陷测井解释参数交汇图版可以明显区分出气层、油层、气水同层、油水同层、水层和干层等不同的地层油气产状。图版显示:岔路河断陷产油气储层含油饱和度下限为20%,并且产气层比产油层具有更高的深浅双侧向电阻率差值;纯水层虽然具有较好的物性条件,但含油饱和度均小于20%;干层泥质体积分数均大于22%,总孔隙度小于10.5%,物性变差,一般为无效储层。 相似文献
18.
马井气田蓬二气藏是马井构造目前最具开发潜力的气藏。本文分析了蓬二气藏储层的沉积相、砂体展布与岩石学特征、储层物性以及地球物理响应特征。研究结果表明,该气藏储层沉积微相为水下分流河道、河口坝,储层具有低伽玛、低密度、低中子、高声波、相对高电阻率的测井响应特征,地震响应模式为低频、强振幅、低阻抗。 相似文献
19.
海拉尔盆地碎屑岩储层束缚水饱和度的确定 总被引：4，自引：0，他引：4
核磁测井资料确定束缚水饱和度主要是采用T2固定截止值法.随着对复杂岩性储层的勘探,近年来,在固定T2截止值方法基础上又发展了锥形T2截止值法、薄膜模型以及频谱模型.对于岩性多变、孔隙结构复杂的碎屑岩储层,常规测井方法和以T2截止值为基础的核磁测井方法确定的束缚水饱和度都难以满足测井评价的精度要求,这时需要考虑薄膜模型和频谱模型方法.这两种模型认为各种尺寸的孔隙中均含有束缚水,只是不同尺寸孔隙束缚水含量不一样.在对海拉尔盆地岩性多变、孔隙结构复杂的碎屑岩储层的实践中,对回波串数据作多指数反演拟合时采用了2的幂次方方式布点,相应地得到了核磁测井T2谱,并从中选取了9个孔隙组分,将其与反映粘土含量的中子-密度孔隙度差值结合,采用回归的方法得到了束缚水饱和度的计算公式.回归公式在海拉尔盆地取得了较好的应用效果,尤其是贝尔凹陷,预测效果提高了将近1倍,计算的束缚水饱和度与岩心分析束缚水饱和度相比,平均相对误差从15.1%减小到8.7%. 相似文献
20.
采用“四大参数法” (峰值、峰基比、甲烷和重烃) 、全烃曲线形态法和全烃储层灌满系数法, 解决了吉林探区油气层气测低异常和组分发育不全等问题。进一步以地化录井为核心, 结合核磁孔隙度和色谱油性, 建立了地化含油饱和度储层评价体系, 解决了油气层荧光、气测显示异常和电测低电阻的油层评价难题。 相似文献