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The method of L. B. Slichter (1955) for optimizing prospecting plans in cases where geological information is meager has been extended to take account of a number of additional factors. These include non‐random distribution of ore in plan, non‐random distribution in depth and finite thickness of ore bodies. Involved is the problem of overlap of ore bodies which appears to be of minor importance in most practical circumstances. Evaluation of maximum profit ratios (or net profits) indicate that the new factors make significant changes from the results predicted by the simpler treatment and thereby justify the additional complication. It appears that in many practical problems digital computing facilities could be used to advantage to accelerate problem solution.

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