In heterogeneous reservoirs that are characterized with thief-zones/fractures or flow-barriers, that may enhance or prevent connectivity, it becomes challenging to construct geological models with both reasonable accuracy and computational efficiency. Such kind of models that can be used for characterization of reservoir connectivity would greatly contribute to decisions in waterflooding operations. Through two simulation using forty-two (42) sample projects and six (6) test projects, the results were consistent.Closed-loop reservoir management requires representative models that can be updated quickly. From the results of the simulation with four, five, six and fifteen hidden neurons, the automated progam NeuroShell 2 produced the lowest mean squared error and the neaest coefficient of linear regression to one, deeming it the program to validate the architectures with. Forty-one (41) road projects were obtained from the Department of Public Works and Highways were simulted using the following ANN programs: MATLAB, Microsoft Excel Solver, NeuroShell 2 and NeuroSolutions. The initial assumed factors were fifteen road factors, through when inspected of their coefficient of correlation and analyzed through learned road knowledge, they were narrowed down to seven, namely: project length, project duration, average site clearing and grubbing (ASCG), earthworks volume (EWV), surface class, water body, and consumer price index (CPI). The objective of this paper is to determine which road factors are the most significant to the total cost and how many hidden layers would one need to arrive at a near estimate to the project's total cost. This paper adapted artificial neural network, a modern technology that adapts the ability of the brain to learn through pattern recognition. In the Philippine context, there are developments yet to come when it comes to fast and efficient early cost estimation. When the stakeholders need an immediate estimate of the budget for the project, in-depth analysis of the costing of the project may take a lot of time, sacrificing resources for feasibility studies. Estimating the total project cost early on the project conceptualization phase is very important to the client and contractor however, not all factors are given that early on the project as several external factors are still unforeseen.
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