An integrated spatially distributed groundwater-econometric model is being developed for the Southern Ogallala aquifer located almost entirely in the northwestern part of Texas (Texas High Plains) with a minor portion in New Mexico. The groundwater flow model provides well heads (which are used to estimate pumping lift) and maximum well yield data needed for the econometric model, while the econometric model provides inputs for water use (pumping rate) and return flows into the groundwater flow model. One of the preliminary challenges of this modeling effort is to select an appropriate method to estimate well heads. Three alternatives are evaluated: (a) the traditional approach which assumes that well head value is equal to the cell head values where the well is located (under this approach wells are introduced into the MODFLOW model using the Well package); (b) wells are introduced into the model with the Multi-Node Well (MNW) package, which has imbedded the steady state Thiem equation accounting for aquifer head losses and, consequently, provides with a more accurate estimation of well head values; and c) the third is analytical solution, by integrating the wells and the equation in ArcGIS environment and estimating the well head values by using the steady state Thiem Equation. By comparing results from three methods, one can gain insights into precision of each method in the estimation of well head values, and could serve as a reference for other water resources assessment with similar modeling requirements.