Detailed analysis of the implementation steps and strategies for digital twin construction of oil and gas reservoirs in the field of oil and gas exploration and development

In the construction of digital twins of oil and gas reservoirs, the core goal of data management is achieved mainly by means of professional software integration. However, it is worth noting that this process does not cover a series of related links such as data integration, storage, and data-driven analysis. Because oil and gas reservoirs are buried thousands of meters or even deeper underground, their environment is extremely complex and cannot be directly visualized. This feature makes the construction of static models like groping in the fog, facing many severe challenges.

From the perspective of the complexity of geological structure, the composition and structure of reservoir rocks in oil and gas reservoirs in different regions vary greatly. Some reservoir rocks have extremely low porosity and extremely narrow channels for oil and gas storage and migration; others have a large number of cracks, and the distribution of oil and gas is irregular. In terms of model rendering and action driving, it is not easy to accurately achieve a high degree of consistency with the various characteristics of the actual reservoir rocks of oil and gas reservoirs, as well as the storage and distribution status of oil and gas in the long geological history and its dynamic changes caused by mining and other activities. Moreover, the model presented in the end needs to be presented in an intuitive and easy-to-understand way so that geologists, engineers and other professionals can quickly understand the information contained therein. This inevitably requires that in the professional software integration stage, the access requirements of different professional software involved in various links such as oil and gas exploration, development, and production should be fully considered, such as geological modeling software, reservoir numerical simulation software, production data analysis software, etc.

The specific implementation strategies are as follows:

Static model design, development and rendering: When carefully carrying out the design and development of oil and gas reservoir static models, it is necessary to deeply integrate the common standards in the industry that have been tested by long-term practice. These standards cover multiple aspects such as geological data collection specifications and model construction accuracy requirements. At the same time, full consideration is given to the operating habits that business personnel have developed over the years in their daily work. For example, some experienced geological engineers prefer a certain data display order or graphic annotation method when viewing the model. In addition, extensive reference is made to the display forms of existing professional software to draw on their advantages in user interaction, visual effects, etc. Since the static model of oil and gas reservoirs lacks mature cases from other industries for reference in terms of display methods, it can neither clearly display the building structure through a three-dimensional model like the construction industry, nor can it intuitively present the assembly relationship of parts and components like the machinery manufacturing industry. Therefore, from basic data collection and organization to the initial construction of the model, and then to repeated optimization and adjustment, the workload of this link is relatively large, requiring a lot of manpower, material resources and time costs.

Integration and rendering drive of professional software: When building a digital twin system for oil and gas reservoirs, it is necessary to access a variety of different types of professional software based on the diversity and complexity of actual business scenarios. In the oil and gas exploration stage, it may be necessary to access high-precision seismic data processing software to obtain detailed information on underground geological structures; in the reservoir development stage, reservoir numerical simulation software is indispensable for predicting the exploitation dynamics of the reservoir. For the interface development of professional software, a professional software development team is required to write an adaptive interface program based on the data format, communication protocol, etc. of different software. At the same time, for the synchronous management of the analysis results of professional software models, an efficient information interaction mechanism should be established. In the setting of model rendering and action drive, it is necessary to closely follow the usage habits of business personnel. For example, in the color matching of the twin model, different colors are used to distinguish different oil and gas properties, such as light oil, heavy oil, and natural gas, so that business personnel can quickly identify them; in the action setting when the reservoir changes dynamically, the flow direction of oil and gas, the pressure changes during the exploitation process, etc. are simulated, and presented in an intuitive animation form, so that business personnel can clearly understand the changes inside the reservoir.

Access and configuration of business processes: The application scenarios of digital twins of oil and gas reservoirs are mainly concentrated in daily scientific research, periodic data analysis, or team collaboration based on specific projects. In daily scientific research, researchers need to use digital twin models to deeply analyze the formation mechanism and evolution process of oil and gas reservoirs; in periodic data analysis, the production data of oil reservoirs needs to be regularly sorted and analyzed to evaluate the exploitation effect; in team collaboration based on specific projects, personnel from different professions such as geology, engineering, and production need to use digital twin systems to jointly formulate exploitation plans and optimize production processes. This requires further in-depth association with the digital twin display module on the basis of efficient integration of the business process engine and professional software systems. By establishing a unified data standard and communication interface, it is ensured that the data between the three can be synchronized in real time and accurately. At the same time, in the process of display interaction, attention is paid to synergy. For example, when geologists mark a potential oil and gas enrichment area on the digital twin model, engineers can immediately obtain relevant geological parameters in the corresponding professional software to make a preliminary design of the mining plan.

Retention of interface design: In the long-term practice process, the upstream oil and gas reservoir research field has formed a fixed habit of using existing professional software. After years of optimization and adjustment, the interface design, interactive operation mode and function implementation of these software have been closely integrated with the workflow of business personnel. For example, some professional software uses a specific menu structure and search method for data query, which business personnel are already very familiar with. Therefore, in the design and development process of the digital twin display interface, it is necessary to ensure that it is highly consistent with the existing professional software in terms of interface design style, interactive operation mode and function implementation. In this way, when using the digital twin system, business personnel do not need to relearn the complex operation process, can quickly get started and improve work efficiency.