We propose a modification of an optimal producer wells placement model on a gas reservoir. The basic formulation of the problem is as follows: the gas reservoir is approximated by a two-dimensional map consisting of identical square blocks, each of which may or may not contain a well bottom. We need to find the blocks in which the defined number of producers will be placed optimizing certain criteria, namely, maximum approach of wells to areas with the largest reserves, and maximum coverage of the reservoir by wells. Previously, the solution was to divide the reservoir into zones of influence, similar to drainage areas. Each zone consisted of the same number of blocks. The advance of the new model is the introduction of conditions: an avoidance of gaps occurrences in zones of wells’ influence, and the uniform distribution of gas reserves among wells. Thus, we avoid the cases of having ""alien"" blocks in a zone belonging to other zones of other wells’ influence; furthermore, the total gas reserves are equally divided between all the wells. At the same time, due to uneven geological distribution of reserves over the field area, the number of blocks in zones of wells’ influence may vary. An admissible degree of violation of the condition of uniform distribution of reserves among the wells is introduced. Described changes cause changes to the solution algorithm. A bi-criterial discrete programming problem to be solved: one criterion is to minimize the total penalty for violation of rational well placement conditions, and another one is to minimize the number of ""alien"" blocks in the zones of wells’ influence. In contrast to different optimal well placement algorithms, the proposed algorithms yield irregular well patterns. Thus, algorithms tend to find the most preferable location of an individual well considering the location of other wells. Therefore, the proposed model of optimal well placement is more consistent with the practice and peculiarities of natural gas field development. The purpose of this work was to increase the degree of adequacy of optimal well placement models to real geological and production conditions of natural gas fields development. We present examples of problem solutions with different condition violation degree values of uniform reserves distribution between producers.