A COMPARATIVE ANALYSIS OF PORE PRESSURE PREDICTION USING PORE PRESSURE Thesis

A COMPARATIVE ANALYSIS OF PORE PRESSURE PREDICTION USING PORE PRESSURE DATA FROM OFFSET WELLS FOR FUTURE WELL PLANNING - Thesis Example 2013; Francis 2013). The latest technologies will be applied in regards to methods and paradigms of the forecasting of the fracture gradient and the forecasting of the pore pressure. The most effective practices in the estimation of pore pressures from the seismic velocity information will be applied. The most effective methods which are used in the industry with regards to the approximation of the formation pressure will be explored. A great deal of the information which is collected in the discipline of well planning is derived from the well production crews. This thesis will incorporate a data base of information in addition to the information which is derived from a survey of the well production crews in order to validate the hypothesis. The well production crews are the initial source of information from which the conditions of the wells are derived. This thesis will also incorporate a database of information which is pressure directed from a diverse number of wells with different characteristics. These wells are found in deep water, offshore, swamp land and the Niger Delta environment. The data which is collected from the oil well production crews will be applied in order to ascertain the best practices for effective well drilling and maintenance. Well planning is the most substantial stage of the drilling engineering process. Well planning has the requisite of the application of engineering theories, the personal and organizational perspectives and the factors of experiential knowledge. Notwithstanding that well planning procedures may be different for different implementations within the petroleum exploration and extraction industry, the final outcome must be a cost avoidant hole, which satisfies industry and government safety requirements for the petroleum extraction engineer’s requisites for oil and gas extraction processes (Eren 2010). 2.