Conception of a Web Operation System for Processing Petroleum Related Drilling Data: A Focus on Pre-Salt Real-Time Automation and Optimization

Petroleum and Natural Gas still represent a considerable share in terms of energy consumption in the current global matrix, so that its exploration/exploitation is present in the market and driving activities in locations of specific complexities, as the ones along unconventional hydrocarbon resources from the Brazilian pre-salt. The daily cost of well drilling under harsh conditions can exceed US $1 million a day, turning any type of downtime or necessary maintenance during the activities to be very costly, moment in which processes optimization starts to be a key factor in costs reduction. Thus, new technologies and methods in terms of automating and optimizing the processes may be of great advantages, having its impact in total related project costs. In this context, the goal of this research is to allow a computation tool supporting achieving a more efficient drilling process, by means of drilling mechanics parameters choosiness aiming rate of penetration (ROP) maximization and mechanic specific energy (MSE) minimization. Conceptually, driven by the pre-operational drilling test curve trends, the proposed system allows it to be performed with less human influences and being updateable automatically, allowing more precision and time reduction by selecting optimum parameters. A Web Operating System (Web OS) was designed and implemented, running in online servers, granting accessibility to it with any device that has a browser and internet connection. It allows processing the drilling parameters supplied and feed into it, issuing outcomes with optimum values in a faster and precise way, allowing reducing operating time

Applicability of Automation and Drilling Optimization in Pre-salt Operations

Much has been published about the importance of the Brazilian and Angolan Pre-salt fields for the energy market. Considering the still growing demand for Oil & Gas due to increase of the energy demand in a worldwide scale, it has become necessary to explore more consistently unconventional hydrocarbon reserves. It brings the petroleum sector to have some focus directed to these carbonate reservoirs located in the subsalt (pre-salt) of the South Atlantic Ocean. These carbonate formations have some presence of silica nodes in it, which is one of the driver to make the drilling operations in such formation quite challenging. This is due to its abrasiveness, reflecting in a low rate of penetration (ranging from 0.5 to 7.5 [m/h]), and general complexities (ultra-deep water reaching up to 2.000 [m], costal distance reaching up to 300 [km], among others). In this sense, implementation of drilling automation and software helping in efficiency improvements during drilling operations has a considerable benefit. Pre-salt drilling operations are very costly at approximately US$ 1.3 million per day. Rather than just focusing in rate of penetration (ROP) maximization, it has become known the importance of driving operations to the minimization of the mechanical specific energy (MSE), what can be achieved by selecting best set of drilling mechanics parameters (weighton- bit, rotary speed and flow-rate), which can be adjusted for the scenario in play. Appliance of drill-rate tests, as a pre-operational drilling test, in order to select the best set of parameters for drilling is a common task in the industry. But, considering that one may drill 50 [m], 100 [m], 160 [m] of pre-salt carbonate reservoir, it is important to have such tests being carried out during the drilling operation, what is not much feasible, given the time consuming it last to the drilling activity. Solution can be a closed loop through programmable routines capable of being updated in real-time by acquired data while drilling, guaranteeing that best set of parameters keep being mathematically calculated and displayed for the 03 (three) main segments (drilling contractors, drilling operators and service companies) during the operation, allowing real-time actions. Not just that, pre-operational drilling tests must start driving attention to a way of deciding for a start set of parameters by analyzing the MSE implicit and not just the ROP, as is still usually performed along the industry. Thus, these presented results details in how would be possible to have such implementations, by means of pre-salt field data as a case study with a more automated orientation