Optimization of hole cleaning remains a vital challenge when planning and drilling deviated, high angle and extended reach wells. Hole cleaning depends on a number of factors and as to date most existing models have been deployed in solving hole cleaning problems. However, the flow rate predicted by these models may not be feasible to apply practically in field operations because it gives a pressure exceeding allowable limits of the pop-up valves on the mud pump. This is the major cause of downtime during drilling operations. This research is aimed at adding value to the existing models in achieving better hole cleaning and reduced down time. This was made possible through the use of cutting monitoring model which is a real time and quantitative tool. A case study on a well being drilled in the Niger Delta was conducted whose from which it was observed that within 5800ft to 11500ft, the hole was not properly clean as less cuttings were recovered. This information was used to initiate hole cleaning procedure. From the validation, the results shows Non-Productive Time associated with hole cleaning has a significant drop of 2-5 days when the cutting monitoring model is used in conjunction with the existing models.