The wells location issue in a productive formation is an important aspect of the effective field development. The problem solution is impossible on the intuitive level due to the reservoir inhomogeneity.
At present the well path is accepted to be located basing on the famous criteria, specialist experience and hydrodynamical simulation on a reservoir model. The designer should analyze many field development variants with different well spacing during limited time interval.
The self-doped tool is invented for decision-making support at the fields development planning. It reduces the time of the field development scenarios making and analyzing. To solve the multimodal optimization problem the 1D discrete optimization methods, the genetic and Ant Colony algorithms are applied.
The methodology-distinguishing feature is an additional capability to design well paths prescribed by spatial curves. The maximum crookedness drilling limitations are kept.
The numerical simulation software is built for the field development efficiency determining. The optimum is calculated on the maximization results of cumulative production, gas production ratio or net profit.
On practice, the project production rate is not guaranteed by the optimal well location defined on simulation. Depending on the making of borehole into the planned reservoir zone, the well drilling quality defines the production indices. To solve the problem the contemporary well drilling supervisor methods are used. They include the method and information support. The information system of technology control allows reconstructing the consistency of operations and staff actions at the well site. As a result, the well planning and conduction experience collected at the formalized database is used during next well planning.
In the study, the approach of combining the field development automated planning, well pattern calculating and borehole drill control is applied. Using the modern Internet-technology advantages, it introduces the convenient features for real-time joint work of designers and supervisors.
The optimal well location problem has been particularly solving by using mathematical models. Even using of modern simulation software the designer spends a lot of time on creation and analyzing of the different field development scenarios by the various well configurations and its performance. The final oil and gas recovery depends on the designer work quality.
Thus, the efficient well placing problem is one of the strategic issues in the hydrocarbon field development. The optimal solution will provide the maximum recovery volumes of the hydrocarbon recourses.
By now, the numerous known publications devote to the effective well spacing problem the reservoir1,2,3,4,5,6. Their common weakness is that only straight lines can set the horizontal wells. Furthermore, the algorithms considered in many papers assume the initial well spacing and following improvement of their location. Hence, the methods efficiency depends on the initial spacing quality.
The hydrodynamic simulator is necessary to restart on each optimization process level during the criterion function search. It leads to significant calculation costs. To reduce a solving time authors use the various methods replacing the finite difference simulator (FDS) with solutions of the neural net built and trained before using the field quality performance map and egotistic (kriging) methods.