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gas logging characteristics
相关语句
  气测特征
     Baolang oilfield lies in Bohu depression of Xinjiang Yanqi Basin, during its initial stage of development, gas logging characteristics were clear, but through ten years development and water injection rate increasing, great changes have happened in the gas logging abnormalities, which mainly displayed that methane relative content was in an upward trend and the ratio between heavy hydrocarbon and total hydrocarbon was in downward trend.
     新疆焉耆盆地博湖坳陷宝浪油田开发初期气测特征明显,但经过10年的开发,随着注水量增大,气测异常发生了很大变化,主要表现在C1相对含量呈上升趋势,而重烃组分与全烃的比值呈下降趋势。
短句来源
     Therefore, the hydrocarbon component ratio of the maximum to the minimum correlativity to replace the main component was used as the abscissa, and the regional indexes of hydrocarbon humidity ratio W_h and hydrocarbon balance ratio B_h as the ordinate individually. On such a basis the dividing chart for carboniferous reservoir fluid properties in K XX well region was established, thus effectively dividing the gas logging characteristics for oil, gas and water.
     为此采用相关性最小与最大的烃组分的比值来代替起主导作用的组分作为横坐标,分别采用区域性指标烃湿度比、烃平衡比作为纵坐标,在此基础上建立了克XX井区石炭系储集层流体性质划分图板,从而将油气水的气测特征进行有效划分。
短句来源
  气测显示特征
     Therefore, according to the actual production test data, a number of low, medium, and high grade oil/gas formations were selected to correlate and analyze the gas logging records, geologic logging records and production test data, and 6 gas logging characteristics are summarized for the identification of the grade of oil/gas content of the formation tested: difference in the hydrocarbon composition;
     为此,根据实际试油结果,选择了一批低、中、高级别油气层,对比分析其气测录井、地质录井和试油资料,总结出可以用来判识测试层含油气级别的6种气测显示特征:①烃类组分有差异; ②钻井液槽面显示不同;
短句来源
  “gas logging characteristics”译为未确定词的双语例句
     Gas logging characteristics in the high pour-point oil block of Damintun sag
     大民屯凹陷高凝油区块气测特性研究
短句来源
     High pour-point oil has different gas logging characteristics from light oil and heavy oil.
     在气测录井方面,高凝油与稀油、稠油具有不同的特征。
短句来源
  相似匹配句对
     Natural Gas Logging
     天然气录井
短句来源
     Gas Logging in Overbalance Drilling
     过平衡钻井状态下的气测录井
短句来源
     LOGGING RESPONSE CHARACTERISTICS IN GAS HYDRATE EVALUATION
     天然气水合物评价的测井响应特征
短句来源
     MEASURED CHARACTERISTICS OF GEOPHYSICAL LOGGING FOR NATURAL GAS HYDRATE
     天然气水合物及其实测的地球物理测井特征
短句来源
     A Discussion on the Logging Characteristics of Reef Gas Reservoir in Sichuan
     四川生物礁气藏测井特征初探
短句来源
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Jidong oil field is characterized by complex blocking, multiple trap types, and complicated distribution of oil, gas and water, so that a problem that gas logging record cannot reflect correctly the oil and gas content of an oil/gascontaining formation is occurred. Therefore, according to the actual production test data, a number of low, medium, and high grade oil/gas...

Jidong oil field is characterized by complex blocking, multiple trap types, and complicated distribution of oil, gas and water, so that a problem that gas logging record cannot reflect correctly the oil and gas content of an oil/gascontaining formation is occurred. Therefore, according to the actual production test data, a number of low, medium, and high grade oil/gas formations were selected to correlate and analyze the gas logging records, geologic logging records and production test data, and 6 gas logging characteristics are summarized for the identification of the grade of oil/gas content of the formation tested: difference in the hydrocarbon composition; difference in the oil and gas shows in returning drilling fluid; significant difference in postgas logging re5HZ

冀东油田断块破碎,圈闭类型多,油、气、水分布状态复杂,以致在气测录井中,常常遇到气测显示(全烃)级别不能正确反映油气层含油气级别的问题。为此,根据实际试油结果,选择了一批低、中、高级别油气层,对比分析其气测录井、地质录井和试油资料,总结出可以用来判识测试层含油气级别的6种气测显示特征:①烃类组分有差异;②钻井液槽面显示不同;③气测后效反映的明显程度有别;④全烃峰的高度、宽度和形状各异;⑤气测显示三角图解的图形有差别;⑥地层含气量高低不等。图2表1(梁大新摘)

High pour-point oil has different gas logging characteristics from light oil and heavy oil.This paper studies these characteristics and sets up various gas logging interpretation modes.The establishment of these modes provides basis for application of gas logging in high pour-point oil block.The new understanding may help gas logging interpretation.

在气测录井方面,高凝油与稀油、稠油具有不同的特征。通过对高凝油区块不同气测显示特征的研究,总结出不同储集层特性规律,建立了不同气测解释模式。研究表明,这些模式的初步建立,为今后气测录井在高凝油区块的进一步应用提供了参考依据。同时,在解释方面得出的认识,为完善气测解释打下了良好的基础。

Baolang oilfield lies in Bohu depression of Xinjiang Yanqi Basin, during its initial stage of development, gas logging characteristics were clear, but through ten years development and water injection rate increasing, great changes have happened in the gas logging abnormalities, which mainly displayed that methane relative content was in an upward trend and the ratio between heavy hydrocarbon and total hydrocarbon was in downward trend. In this case, continuing to use the original gas...

Baolang oilfield lies in Bohu depression of Xinjiang Yanqi Basin, during its initial stage of development, gas logging characteristics were clear, but through ten years development and water injection rate increasing, great changes have happened in the gas logging abnormalities, which mainly displayed that methane relative content was in an upward trend and the ratio between heavy hydrocarbon and total hydrocarbon was in downward trend. In this case, continuing to use the original gas logging interpretation methods were very difficult to divide oil-gas-water layer accurately, so, the paper provided an artificial nerve network oil-gas-water layer interpretation model, set forth model characteristic parameter optimization and determination, establishing process and weight coefficient determination. Through repeatedly training and testing this model, the maximum error between actual output and expected output was less than 0.01. The applied results indicated that adopting artificial nerve network oil-gas-water layer interpretation model was beneficial to evaluate oil-gas-water layer accurately and its interpretation coincidence rate is up to 86.7 per cent.

新疆焉耆盆地博湖坳陷宝浪油田开发初期气测特征明显,但经过10年的开发,随着注水量增大,气测异常发生了很大变化,主要表现在C1相对含量呈上升趋势,而重烃组分与全烃的比值呈下降趋势。在这种情况下沿用原来的气测录井解释方法已很难准确划分油气水层。为此,提出了人工神经网络油气水层解释模型,阐述了模型特征参数的优化及确定方式、模型的产生过程和权系数的确定途径,经过反复训练与试验,实际输出与期望输出最大误差小于0.01。应用表明,采用人工神经网络油气水层解释模型更有利于准确评价油气水层,其解释符合率可达到86.7%。

 
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