Технологические решения для строительства разведочной вертикальной скважины глубиной 3130 метров на газовом месторождении (Томская область)

Объектом исследования работы является месторождение Томской области. Целью работы является – спроектировать технологическое решения для бурения вертикальной разведочной скважины, геолого-технический наряд, компоновки низа бурильной колонны, интервалы бурении и спуск обсадных колонн, интервалы цементирования. Все технологические решения для строительства скважины приняты с учетом современных достижений в области технологии и техники строительства скважины.The object of research is a Deposit in the Tomsk region. The aim of the work is to design technological solutions for drilling vertical exploration wells, geological engineering outfits, bottom hole assembly, drilling intervals and casing descent, cementing intervals. All technological solutions for the well are given taking into account modern achievements in the field of engineering and technology of well construction

Bone morphology allows estimation of loading history in a murine model of bone adaptation

Bone adapts its morphology (density/microarchitecture) in response to the local loading conditions in such away that a uniform tissue loading is achieved (‘Wolff’s law’). This paradigm has been used as a basis for bone remodeling simulations to predict the formation and adaptation of trabecular bone. However, in order to predict bone architectural changes in patients, the physiological external loading conditions, to which the bone was adapted, need to be determined. In the present study, we developed a novel bone loading estimation method to predict such external loading conditions by calculating the loading history that produces the most uniform bone tissue loading.We applied this method to murine caudal vertebrae of two groups that were in vivo loaded by either 0 or 8 N, respectively. Plausible load cases were sequentially applied to micro-finite element models of the mice vertebrae, and scaling factors were calculated for each load case to derive the most uniform tissue strainenergy density when all scaled load cases are applied simultaneously. The bone loading estimation method was able to predict the difference in loading history of the two groups and the correct load magnitude for the loaded group. This result suggests that the bone loading history can be estimated from its morphology and that such a method could be useful for predicting the loading history for bone remodeling studies or at sites where measurements are difficult, as in bone in vivo or fossil bones