Many on the Board of Directors see the business of E&P companies as being that of drilling wells and increasing production and not of being a brokerage firm. Some of these data management / information management companies have entered the seismic brokerage business licensing exclusive data for the E&P companies to generate a side income, since they are already storing the data. #Geomodel solids software#These outside contractors have even developed software around the storage of data. Many of the people involved with the outside contracting firm are more experienced with the data than the people in the E&P company. Part of the reason why E&P companies are doing this is because they don’t have the expertise and resources to work with the PPDM (Professional Petroleum Data Model) which is the data model that is used to store the data and all the attributes around the data. Some companies are moving away from having data management / information management internally, especially during this most recent downturn, and are turning to contractors that specialize in this with one or two individuals internally working with the outside contractors. and at times it is hard to follow the various mergers and who has a share in the seismic data. This can be cumbersome over time since companies can fold, undergo mergers etc. If it is done by a group of companies, then when the data is sold, all the partners must agree to the sale. There is another type of seismic data, and that is exclusive or proprietary seismic data, when data acquisition is operated and paid for by a company or group of companies (partnership). #Geomodel solids license#The E&P company cannot just give a copy of the seismic data to its partners without the partners having a license to the data. With speculative or non-exclusive seismic data there are rules on how it can be used by the E&P company. With seismic data, it is referred to as speculative or non-exclusive data. A lot of the data that an E&P company has, such as seismic, well data and GIS data, tends to be licensed from a third party. The issue with data is not just the data itself but all the meta-data that is attached, establishing ownership and how the data can be used. In today’s world, data management is becoming crucial to the E&P companies. Schematic which illustrates the possible divisions and jobs across an E&P company. The goal of such teams is to rely upon each others’ expertise to make the company more successful. A major change in today’s market is an integrated team where the work is done across silos utilizing different disciplines to solve problems. Each supports the other but they tend to work in silos. There are a lot of different people with a variety of backgrounds that make up an E&P company. IntroductionĪn E&P company is not just made up of geoscience and engineering. To accomplish this, there need to be elements of data management, information technology (IT), geology, geophysics, petrophysics, and engineering on the petrotech team. They not only understand the data, but need to understand how the software (database) handles the data to optimize the use of it by the users. The Petrotech team looks at standards, how the data should be loaded, and loads all the data using the standards. The emphasis is on working as an integrated team, utilizing geoscientists, petrophysicists and engineers, using data from the different disciplines to build a static model which will then be used for the reservoir simulation and the understanding of fluid flows.Įven data management is becoming an integrated team effort, being referred to as a “petrotech”. The goal is to be able to run a geomodel within 2 to 3 weeks to obtain the necessary answers about purchasing a lease, participating in a well, or drilling a well. The geological tops also need to be standardized, as well as the seismic horizons. sonic can be called DELT, DTC, DT, etc.) and there just needs to be just one unique mnemonic for each type of well curve. There are several mnemonics for each type of well curve (e.g. The biggest problem encountered in the past with building geomodels was the work of converting the data into a standard dataset. E&P companies are also moving away from the method of geoscientists and engineers working as individuals on the data, creating their own maps and analysis, towards working together collaboratively and using a geomodel as the repository of the data across the area. The reason why they are doing this is because data drives big economical decisions, including the sanctioning of a new play, which is when the Board decides to spend a large amount of money on the development of an existing play or entry into a new one to expand its portfolio. E&P companies are looking at data differently than they did in the past.
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