1) Prediction of petroleum resources
油气评价单元
2) assessment unit
评价单元
1.
Based on the technological features of small nitrogenous fertilizer production system and the analysis of fire & explosion risk factors in the production of nitrogenous fertilizer,Dow method is used to calculate the inherent risk index and the actual risk index of six assessment units of coal gas producer,gas tank,desulfurization,transformation,cuprammonium washing and synthesis.
结合小氮肥生产工艺的特点及企业实际情况,在分析小氮肥生产过程中火灾爆炸危险因素的基础上,应用道化学法对小氮肥生产工艺中的煤气发生炉、煤气柜、脱硫、变换、铜洗和合成等6个单元进行了固有危险指数和安全补偿措施后的危险指数的计算,同时对评价单元的火灾爆炸危险度进行了研讨。
2.
At first,on the basis of the geological features,24 types of oil assessment units and 16 types of natural gas assessment units were classified,such as the high-permeability unit in the Mesozoic depression,the high-permeability unit of complicated fault blocks in the rift basin,cratonic basin palaeo-high,foreland basin thrust fault.
首先,将国内石油评价单元划分为中生代坳陷高渗单元、古近纪与新近纪断陷盆地复杂断块高渗单元等24种类型,将天然气评价单元划分为克拉通盆地古隆起单元、前陆盆地冲断带单元等16种类型。
3.
The assessment units should be divided into different types, each type had its own solution.
油田规模序列法在应用时应该加强地质分析的作用,利用勘探历史资料和地质资料将不同评价单元分为不同情况,继而采取不同的具体方法。
3) Evaluation unit
评价单元
1.
In the technique of safety evaluation, marking off evaluation unit accurately is a key point.
安全评价单元正确划分的目的是为了简化评价工作又避免评价漏项;也是为了提高不同定性、定量评价方法的应用准确性;更是为了得出单元危险度的比较概念,突出评价对象的系统危害特征,同时不夸大整体危险性。
2.
On the basis of the grey system theory with the evaluation of coal resources,the paper discusses the grey characteristics of evaluation unit of coal resources,analyses the basic principles of evaluation of coal resources with grey cluster,and gives the calculating method in the evaluation of coal resources.
在灰色系统理论与煤炭资源评价实践有机结合的基础上,讨论了煤炭资源评价单元的灰色特征,分析了灰色聚类分析应用于煤炭资源评价的原理,给出了煤炭资源评价中的灰色聚类分析的计算方法。
5) oil and gas evaluation
油气评价
1.
It is introduced the application of pattern recognition method,the leading method is neuralnetworks pattern recognition,in geochemistry inclued oil and gas evaluation,geochemical explortion and sedimentary microfaci.
介绍了模式识别方法主要是神经网络模式识别方法在油气勘测中油气评价、在油气化探以及在沉积微相测井的应用,还介绍了MATLAB中的神经网络工具箱在地球化学领域中的应用等。
6) oil-gas evaluation
油气评价
1.
Application of Bayesian statistical pattern recognition in mud log oil-gas evaluation;
贝叶斯统计识别法在录井油气评价中的应用
补充资料:储层描述(见油气田储层评价)
储层描述(见油气田储层评价)
reseroir evaluation of oil and gas field
储层描述(reseroir evaluation of 011 and gasfield)见油气田储层评价。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条