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A robust method for determining the optimum horizontal well direction and length for a petroleum field development using genetic algorithm
Ariadji T.a, Aziz P.A.a, Soewono E.a, Syifa A.A.a, Riza L.S.a, Sidarto K.A.a, Sukarno P.a
a Drilling Engineering, Production, and Oil and Gas Management Research Group, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Locating a horizontal well to maximize a gas field production requires not only a right direction but also horizontal segment length. This is due to the longest segment does not necessarily give the maximum gas production, and each direction has its own optimum segment length. Currently, this problem is solved through a trial and error method. This method requires significant efforts and time to find the best location in order to provide a good reservoir model. In this study, a new construction of an optimization problem for optimizing gas production is proposed. Genetic Algorithm is applied to avoid the trial and error procedure. A set of two consecutive objective functions is constructed, i.e., one which is based on the quality of basic reservoir rock properties resulted from summing of all the grids of objective function values in a chosen direction, and the second one which is derived from a curve fitting cubic spline function of the cumulative gas production at a plateau time period with respect to the horizontal well length. This is resulted from only few runs of the conventional reservoir simulation method. In conclusion, using a newly proposed objective function we can produce much faster and reliable results compared with results obtained from the conventional trial and error reservoir simulation technique. This study yields a direction of 348°, and horizontal segment of 536.5 meter resulting in 7.06 years of plateau time with error of 1.133. Furthermore, an economic evaluation was conducted by using the resulted gas production profiles corresponding to horizontal well directions and horizontal length obtained from the reservoir simulation. © 2012 American Institute of Physics.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Cubic spline,Genetic Algorithm,Horizontal well,Objective function[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/1.4724161[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]