Design calculation model of oil fluid property parameter knowledge database for production logging

The fluid property parameter calculation affects the accuracy of the interpretation the accuracy, in the interpretation of the liquid production profile. Therefore, it is particularly important to accurately calculate the physical property parameter values, in the establishment of the fluid property parameter expert knowledge base system. The main physical parameters include the following calculation methods of the oil. The oil property parameter conversion formula mainly studies the formulas such as bubble point pressure, dissolved gas-oil ratio, crude oil volume coefficient, crude oil density, crude oil viscosity, and crude oil compression coefficient. Design expert knowledge base system, it is based on the calculation methods of these physical parameters. A computational fluid property parameter model is constructed by training production log sample data. Finally, the interactive and friendly product interpretation software model was developed in 9 wells’ data. The design calculation model can increase the accuracy to achieve 95% of oil fluid property parameter. Accurately calculate fluid property parameter values.

Research on the construction of knowledge base system of Marine disasters and emergencies risk prevention and control

<p>Marine environmental security are facing increasingly prominent problems in recent years. Under the current context of big data, most of the emergency event participants are in a dual dilemma of "knowledge ocean" and "knowledge deficiency" in their responses to emergencies, leading to a result that they fail to quickly acquire and use relevant knowledge. For the need of risk prevention and control over marine environmental security events, it is necessary to make research on the knowledge base of marine environmental security risks’ prevention and control and organize the knowledge base system based on the knowledge related to storm surges, enteromorpha, marine oil spills, tsunamis, sea ice and other marine environmental security events, including such contents as basic knowledge, laws and regulations, plans, cases, prevention and preparation, monitoring and early warning, disposal and rescue, and so on. Through such methods as knowledge maps, multi-type knowledge coupling, digitization of risk prevention and control knowledge and the like, the ontology and detailed element sets are constructed for the knowledge base on prevention and control over comprehensive risks against marine environmental safety, thus forming the entity of the risk prevention and control knowledge base.</p>

Diagnose Expert System Computer Malfunction Certainty Factor Method

An expert system is a knowledge base system that solves problems using an expert's knowledge that is entered into a computer, thereby increasing productivity, Because an expert can work faster than a human lay works like an expert. Expert systems Also solve problems by imitating the ways in the which an expert expert offer section with problems in his field, one of the which is in the field of computer repair, the problem of computer damage Becomes a fairly complicated problem, this problem is Generally experienced by individuals and institutions. One of them is in school institutions that have computer laboratories. to diagnose computer use can damage the certainty factor method that helps identify damage to the computer and find the cause of damage to the computer based on the symptoms that occur and the solution to repair it. Certainty Factor is one of the techniques used to deal with uncertainty in decision making. In dealing with a problem, answers are Often found that do not have full certainty. This uncertainty is influenced by two factors items, namely the uncertain rules and user uncertain answers. Uncertain rules are rules of symptoms that are determined for a damage.