![]() ![]() Hundreds of horizontal wells have been performed fracturing operations to exploit the unconventional shale gas resources in the Duvernay Formation of Fox Creek, Alberta. The results indicated that, total flow area, bit hardness and WOB have the highest impact on network data compared to other drilling parameters. On the other hand, increment in flow rate leads to drop in inclination. It has been found out that as weight on bit (WOB), bit revolution per minute and stand pipe pressure increase, inclination increases. It has been found that developed ANN model provided satisfactory results based on the mean-square-error value which was measured to check accuracy and quality of each training. Moreover, inclination predictions were carried out for a field case in which kick-off point to the target depth with 30 meters survey intervals and results were compared. During the training process, the effects of each drilling parameter on inclination were investigated with different scenarios for different hole sizes. The training data consisted of 7600 individual drilling data. To predict the sudden changes in inclination while drilling, a backpropagation, feed forwarded multi-layered artificial neural network (ANN) model, which uses drilling data collected from 12 J-type directionally drilled geothermal wells from Büyük Menderes Graben, Turkey was developed. The rating of performances of each designed model is scored against some testing criteria like collapse, tension, torsion, torque, pipe stretch, critical buckling force and critical RPM.ĭirectional drilling in naturally fractured geothermal reservoirs is a challenging task due to unexpected changes in inclination and azimuth of the well axis, which cause inefficient weight on bit transfer, decrease in penetration rate, increasing the risk of stuck pipe and problems while running casings. The programme automatically generates two additional (upper and lower designs of the input design parameters) for comparison purposes. Three mathematical models were developed trajectory model, drillstring specification model and algorithm model for simulation and analysis of the drillstring. Sets of correlations from SPE papers and other literature were used to create mathematical models to design the drillstring. Drillstring specification data from API RP 7G was used to create a database for drillstring specification. This work therefore seeks to develop a mathematical model that can simulate and predict recommended drillstring design boundaries for a given drillstring dimensions, well trajectory and drilling parameters to select an optimal drillstring design for a given drilling operation using Python programming language. The selection of these parameters manually can be very challenging. Selection of drillstring for a given field is therefore optimised by the selection of appropriate grade of pipes, outer and inner diameter, nominal weight per foot, adequate yield and tensile strength to give the best performance in a drilling operation. Failure of any of its components will results in high wellbore restoration cost. ![]() To hit a given target, the drillstring must be able to withstand all possible loads or forces anticipated to occur during the drilling operations. This is possible because deviations can easily be detected and the necessary directional corrections or adjustment be initiated to re-orient the drilling bit to the right course before (planning process) and during the drilling operations.ĭrillstring design is essential to the success of a drilling operation. This w ould therefore help to minimize risk and uncertainty surrounding hitting predetermined target. The program is able to provide pictorial views both in the vertical and horizontal plane of the trajectory of the drilling bit’s position in the wellbore. This would help increase the usage of these trajectory methods especially the Minimum Curvature method. An Excel Spreadsheet program was developed employing the Minimum Curvature method (and for other five methods) for wellpath design and planning. One of the objectives of this study was to develop a user friendly Excel Spreadsheet program that would make the computations of these well trajectory parameters easier, faster and accurate. ![]() These computations are very stressful and time consuming especially when done manually. A major drawback of directional and horizontal well drilling is the numerous complex computations required to be done while planning a well. ![]()
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