Cementing of the casing pipes inside the wellbore is considered as one of the most expensive and difficult operations during the well construction process. A low quality cementing job leads to further repair operations, which are usually costly and time-consuming to conduct. Polymer cements are being used for decades in the oil and gas industry due to their improved properties such as sedimentation stability, flexural strength and adhesion. Furthermore, these cements are characterized by improved pore structure, decreased slurry density, decreased porosity and controllable rheological parameters. In this research, a single domestic polymer is added as a cement modifying agent. Domestic additive are easier to buy in the market and are usually cheaper than the imported additives. In addition, using a single additive leads to a simplified logistics operation. Results of the experimental investigations on the main properties of the developed cement systems show that using the proposed polymer in the proper concentration leads to an optimum flow-ability and pump-ability of the slurry, reduced cement water loss, increased strength characteristics and improved adhesion properties of the set cement.
Over the last years, horizontal wells have found applications in many different geological and technical situations to enhance the production rate from the oil and gas reservoirs. However, well instability problems are often reported during construction of these types of wells. To mitigate instability problems, which are usually difficult and costly to solve, well stability analysis are conducted before the construction process begins. Different geomechanical and mathematical models that are used in the well stability studies, do not include the uncertainty assessments of the models. As majority of input parameters into the geomechanical models are subjected to some extent of errors and uncertainties, therefore, it is essential to quantify the uncertainty associated with the output of the geomechanical models. In this work, a Monte Carlo simulation technique is applied to quantify the uncertainty in the output of a poroelastic model to make more reliable decisions in the well construction process.
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