Search

Fire flooding, also known as in-situ combustion technology, is a mining technology that can greatly improve the recovery of heavy oil reservoir. The composition of the output of the fire flooding oil well is very different from that of other heavy oil thermal recovery wells, and shows regular changes with different stages of fire flooding. These changes have a great impact on the efficient lifting of the fire flooding oil well. Numerical simulation can be used to simulate the combustion process of fire flooding and the heat and mass transfer process in the reservoir, so as to simulate the changes of the components of the output with different stages of fire flooding, and provide guidance for the design of fire flooding lifting. The results show that it is feasible to use reservoir numerical simulation software to simulate the production performance and the change of production composition of in-situ combustion oil wells.

The unconsolidated sandstone heavy oil reservoir is dominated by heterogeneous elastic-plastic reservoir with complex structure. The core demand is large in the study of reservoir lithology and physical properties. Although the high-cost freezing and encapsulation processes are used in the process of coring site and indoor processing, they are still easy to damage in the process of extracting cores. Moreover, the physical parameters of ordinary artificial cores are too different from those of producing cores to obtain accurate lithology and physical parameters. So, replacing the production cores with outcrop cores may become an important method to study the physical parameters of reservoirs. In this paper, the micro-velocity displacement method and saturated heavy oil method are used to study the lithology and physical property parameters of outcrop cores. The results show that compared with those of producing cores, the rock mechanics parameters of outcrop cores after high-pressure heavy oil saturation treatment are basically consistent with those of field cores. Therefore, it can be used to replace the core to study the physical parameters of rocks in special cases.

In order to enhance the penetration ability of the rocket and the damage degree of the target, the trajectory design and optimization of the rockets are carried out, and the cooperative strategy of multiple rockets is designed. Firstly, the particle motion model of rocket is established, and the power and guidance scheme are given. Then, a cooperative attack strategy based on different launch points for multiple rockets is proposed, which transforms the cooperative attack into the optimization of launch points. The optimization model of the launch point under the expected attack time is established, and the model is solved by the cultural algorithm. The distribution of the launch point under different attack time is obtained and fitted as curves under corresponding conditions. Finally, aiming at the problem of multiple rockets cooperative combat, using the obtained curves, three kinds of cooperative strategies which are suitable for different attack time requirements are proposed and verified by simulation.

In the area with complex terrain changes, the traditional trend surface filtering has the problem that it is impossible to reasonably construct the terrain of the expression area. This paper proposes an adaptive trend surface filtering method based on K-D (K-Dimensional Tree) tree. Based on the K-D tree index, the algorithm divides the MBES (the multi-beam echo sounding system) data into several sub-blocks, and then analyzes each sub-block using trend surface filtering algorithm to more accurately reflect the real terrain. The experimental results show that the algorithm execution time in this case is about twice that of the traditional trend surface filtering in the case of millions of data volumes, and the execution efficiency is within a reasonable range. Compared with the traditional trend surface filtering algorithm, the algorithm has a higher fitting degree with the seabed terrain, and the depth difference distribution between the topographic point and the fitting plane is more concentrated. In addition, the proposed algorithm can effectively identify the outlier noise and the near-field noise in the case of ensuring the authenticity of the terrain, so it provides a useful reference for the denoising processing of MBES.