Participate in the Third International academic forum on information innovation Karamay

According to Lao Sun, the meeting of the first two digital oil fields in Karamay was of high specifications. Unfortunately, he has never had the opportunity to attend. The third session was held in September 3-4, 2014. No matter how I took the opportunity, I was disappointed with the contents of the meeting. Karamay's mind was already on the digital city, and the theme of the Digital Oil Field was diluted. After chatting with sun, I felt that the country could not find the second city that combines oil and oil like Karamay. Even if their digital city is successful, can it be promoted nationwide? It may also lose the position of the digital oilfield. It seems that the main position of the digital oilfield is still in Xi'an.

Many of the reports on this digital oilfield Sub-Forum were introduced at the two conferences in Xi'an and Fujian. There were not many new contents.

Information technology in Aramco

This section mainly describes the construction of information infrastructure, telephone, video conferencing, network facilities, data centers, computing simulation, and security.

IBM Big Data practices

Can IBM's big data solutions be implemented in the oilfield industry?

I didn't know much about the above film at first. After I came back, I listened to teradata's big data and found that the idea was basically the same. Previously, it mainly used relational databases and data warehouses. Later, it added some semi-structured or unstructured data, mainly using big data storage solutions such as hadoop. However, teradata has launched a powerful data mining tool for this data.

Digital oilfield status quo and data governance

Instructor Gao's PPT was a complete one in the past. Due to insufficient time, he soon introduced data governance and data experts. I listened very seriously when the data experts introduced the victory. There are two types of user groups for data experts: data administrators and SQL users, and common users who are more interested in the results of data queries. I feel that data experts are more focused on the former user group. The product is quite powerful. For the first type of users, there is no need for too many graphical interactions on the user interface. For the second type of users, a graphical process interface may be a bit difficult, how does this product take into account two types of users? The other is the underlying layer of the software. If there is a processing layer of the domain language, it will be more powerful, and the graphic interface's process design will be decoupled from the batch processing logic of the underlying data stream. Another example is that data experts can only process data in serial mode, and the internal data pipeline mechanism is not introduced. If a data pipeline is added, the performance will be improved a lot. In addition, when a fault occurs in the Data Process processing process, how to locate it is also a difficult problem. From this point on, this data expert must be a Senior Programmer and the software must provide the debug function.

Data Experts work on data, but it is not enough to take the right medicine from the data aspect. They also need to vigorously promote data application integration.

Geological Cloud Platform

I have listened carefully to the geological cloud platform. It is similar to the large-scale professional software sharing that Shengli has made. The full text should be a solution, and compared with various remote desktop technologies (xmanager, VMWare, citrix, V-site, Schlumberger's), using DCV technology (which I have never heard of), supports 3D visualization and GPU computing.

The above table does not appear in the PPT, but is like this:

After long-term research and tests, the North China Oilfield has found a set of technical solutions that are most compatible with existing software and hardware resources in a number of cloud computing technologies, and conducted secondary development around this technology to form the cloud Desktop System of the North China Oilfield.

It seems that the key technology is still the technical solution of other companies. It is hard for us to have no patented technology.

 

Big Data Analysis and intelligent oilfield Transformation

Professor Cheng's PPT is informative and needs to be retrieved for further research. Where can big data be implemented in the exploration process? I still cannot find it.

Information Resource Integration and intelligent Oilfield

I proposed an R center resource integration platform and offered a terminology that would be sufficient for N years.

Introduction to digital basin Construction Technology Platform

Looking at the jewelearth ecosystem introduced by this company, it is still very huge and the products are good. If there is not enough funding, it is estimated that it will be difficult to compete with the ocean & petrel platform provided by Schlumberger for a long time.

Looking at the introduction of Chinese platforms and foreign platforms, I feel that Chinese platforms are often a bunch of glossary and seldom mention various business components on the upper layer, on foreign platforms, we often see the introduction of GIS, two-dimensional graphics, three-dimensional graphics, bar charts, coordinate systems, message mechanisms, data exchange, and other functions that we are familiar with. After all, no matter which platform, it must be composed of these solid modules.

Participate in the Third International academic forum on information innovation Karamay