Research On Surface Reconstruction Method Of Three-Dimensional Anomaly Body Based On Feature Fusion

Almost all of the basic geological study and petroleum geology study will involve the seismic data interpretation, including structural geology, seismic stratigraphy and other disciplines. Seismic data interpretation covers all aspects of oil and gas exploration, such as regional evaluation of petroliferous basin and assessment of oil and gas reserves, petroleum systems assessment, evaluation of the decision of early development scheme and the adjustment of late development scheme. 3D surface reconstruction and visualization of anomaly bodies is an important part of seismic data interpretation, it can reflect the seismic acquisition data to geological seismic researchers directly so that they can understand the situation below the surface more accurately in order to make scientific judgments. Surface reconstruction of 3D target bodies and the visualization are widely used in lots of areas, such as aviation, health care, environmental science, geological exploration and so on. At present, there are two kinds of solutions for this research project: One is like commercial software Petrel using scalar form to express 3D geological bodies directly; Another one is using vectors to visualize 3D geological bodies, for example we can use triangle surfaces to approximatively express the surface of 3D geological bodies. In the practical seismic data, different seismic attributes often reflect different aspects of underground situation. However, the existing solutions are often use only single seismic data to research without combining with different seismic attributes, so the results of surface reconstruction and visualization are often unsatisfactory. According to the characteristics of seismic data, this paper proposes a new 3D visualization method based on the data fusion of different seismic attributes, and do the data packing process and surface smoothing process to the result in order to get more beautiful and complete surfaces of 3D geological bodies. We mainly completed the following tasks:1. According to different seismic data attributes, this paper proposes a 3D image fusion method which combines the objective characteristics of seismic data and the professional interpretation experience of geological researchers. At first, we process the several different seismic data which include different seismic attributes to extract the geological scatter points we are interested in; and then combining the professional interpretation experience to carry on 3D image fusion with the theories of fuzzy logic and constructing the data field of 3D anomaly bodies; at last getting the surface of anomaly bodies from the data field by computing contour surfaces.2. Since there are always lots of noise and burrs interfering us to observe the surface of 3D geological bodies, we must do some things to improve the quality of the surfaces. However, during the processing we just need to remove those noise and burrs and preserve the geometric feature of original surfaces, so in this paper we propose a new method workflow to pad the points data and smooth our surfaces. By using this new method workflow, we extract some nice surfaces of 3D anomaly bodies.3. Based on above two methods, we design and achieve a system of 3D anomaly body surface reconstruction and visualization which combines professional interpretation experience and objective seismic data. It’s used in practical project of geological interpretation, and have some nice results.