We have developed a program in C# that scans 2D seismic images in search of geological formations; the primary reason behind this endeavor was the significant potential for time and cost savings it offers in the process of _finding oil. Even in this day and age, image screening is still carried out by hand, despite the fact that the quantity of geological data being collected is expanding at an unprecedented rate. Because the screening of seismic images by using computer-assisted image analysis is a relatively unknown area of research, we make use of well-established theories about image processing and analysis. In the context of picture pre-processing, this refers to operations such as thresholding at specific intensity levels, frequency filtering, mathematical morphology, and so on. Skeletonization, distance transformation, property measurement, and a host of other techniques are utilized during the analysis and classification processes. The results are highly encouraging taking into account the fact that this is just an early stage prototype. The developed software tool is successful at finding and correctly classifying items, with the exception of certain issues that emerge when various image objects are strongly coupled to one another. Processing time for a "standard sized" single image can range anywhere from 0.2 seconds to 10 seconds, depending on how much data the image has. It should be noted that this is for an AMD Athlon X2 running at 2 GHz, and the code is not optimized in any way.