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    Comparison of Rheological Properties of Slurry with International Standards to Evaluate the Successfulness of Gachsaran Oil Field Cementation and Proposing Experimental Solutions

    , M.Sc. Thesis Sharif University of Technology Abbasi, Ali (Author) ; Ghotbi, Sirous (Supervisor) ; Moghadasi, Jamshid (Supervisor)
    Abstract
    The rheology of oil well cement (OWC) slurries is generally more complicated than that of conventional cement paste. In order to contend with bottom hole conditions, a number of additives are usually used in the OWC slurries. The objective of this research is to develop a fundamental understanding of the important mechanisms that affect the properties of OWC slurry such as rheological properties, free water, compressive strength and thickening time incorporating various chemical and mineral admixtures. The partial replacement of OWC using different nanoparticle weight percent has been proved to be a promising method. The mechanisms underlying the effects of chemical admixtures on the... 

    Experimental Investigation of Factors Affecting Formation Damage through Aqueous Phase Trapping in Gas Reservoirs

    , M.Sc. Thesis Sharif University of Technology Mirzaei Paiaman, Abouzar (Author) ; Masihi, Mohsen (Supervisor) ; Moghadasi, Jamshid (Supervisor)
    Abstract
    Aqueous phase trapping (APT) in many of the oil and gas reservoirs is a significant mechanism of formation damage during drilling, completion, work over, and stimulation operation. APT can limit the productivity of the well to a high extent, especially in low permeable gas reservoirs. Experimental investigation of factors affecting APT is vital to recognize extends of associated damage and contribution of each factor. Albeit many experimental studies have been conducted as regards factors affecting removal of phase traps in understudy mechanism of formation damage, but up to date no experimental data has been published regarding effect of different factors on reservoir’s potential for APT.... 

    Experimental Investigation of Mud-Induced Formation Damage in Fractured Reservoirs

    , M.Sc. Thesis Sharif University of Technology Bagheri, Abdolhossein (Author) ; Rashtchian, Davood (Supervisor) ; Moghadasi, Jamshid (Supervisor)
    Abstract
    Productivity reduction of oil and gas wells due to mud induced permeability impairment is one of challenging problems in drilling and production studies. This phenomenon is of prime importance in fractured reservoirs in which high permeability fracture networks act as conduits for feeding gas or oil from a tight matrix to the wellbore. Up to now, many experimental and modeling investigations have been done in formation damage in conventional reservoirs. But in spite of large contribution of fractured reservoirs in total hydrocarbon reserves, there is very little work reported in the literature investigating formation damage in such reservoirs. In this thesis, the effective parameters in... 

    Experimental Investigation for FINDING a Suitable Additive (Nanoparticle) to Design Required Elastic Cement for Iranian Oil/Gas Wells

    , M.Sc. Thesis Sharif University of Technology Khojastefar, Abdorahim (Author) ; Taghikhani, Vahid (Supervisor) ; Soltanian, Hamid (Supervisor) ; Moghadasi, Jamshid (Supervisor) ; Samsam Sokheiravi, Mohammad (Co-Advisor)
    Abstract
    Previous studies indicate that increasing cement compressive strength can’t prevent loss of zonal isolation and casing collapse in worse case during well operations or formation loading. Since standard cements with high compressive strength can’t solve these problems, so application of elastic cements with low Young’s modulus and high Poisson’s ratio becomes important. These cements sustain generated stresses during well operations and prevent creation of point loads when formation creep occurs. For this purpose, a new additive was designed in order to improve the cement elasticity and tensile strength. It is a nanoparticle and named EX-RIPI (by Research Institute of Petroleum Industry,... 

    Deep Compositional Captioner

    , M.Sc. Thesis Sharif University of Technology Jahangiri, Saman (Author) ; Esfahani Zadeh, Mostafa (Supervisor) ; Kamali Tabrizi, Mostafa (Co-Supervisor) ; Moghadasi, Jamshid (Co-Supervisor)
    Abstract
    One of the most important applications of artificial intelligence, and especially deep learning is image captioning. Given an image, the task is to automatically produce a sentence, describing the image. Image captioning has several real world applications like helping the blind understanding the images, generating automatic captions for the social media, etc. In the past, several different methods for image captioning have been used, but after the emergence of deep learning, like many other areas, image captioning algorithms have been improved significantly. In this thesis, I talk about a specific method for image captioning, called ”Deep Compositional Captioning. In this method, at first...