Design and Realization of Well Pattern Optimization Software
- DOI
- 10.2991/icca-16.2016.51How to use a DOI?
- Keywords
- Areal pattern, Optimization design, Grid interpolation, Index calculation, Secondary development
- Abstract
This paper provides a kind of computer assisted well pattern optimization design technology and its software realization method. Based on the requirements on well pattern arrangement and adjustment for secondary development of mature oil fields, virtual well locations were arranged for multiple types of well patterns, different well spacing and various well alignment directions, and well patterns were adjusted according to oil reservoir configurations and source directions. Based on the grid attribute values of oil and water well locations and their relationships with the boundary of reservoir sand bodies, oil and water well points were adjusted by making full use of old wells. Indexes (e.g. oil and water well drilling ratio and drilled layer amount) were calculated to the well locations of the finally generated new well patterns, and numerical reservoir simulation input file format was output automatically. Development indexes (e.g. recovery factor and water cut) were predicted fast. In this way, it is conductive for reservoir engineers to optimize well patterns and well spacing fast. The well pattern optimization software which was designed considering above mentioned technical methods was applied to the secondary development plans and development adjustment plans of over 10 oil reservoir blocks in mature oil fields with high water cut, and the working efficiency and study precision are increased greatly.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Junhua Chang AU - Jiqun Zhang AU - Xinhao Li AU - Xiaoming Xu AU - Hua Li PY - 2016/01 DA - 2016/01 TI - Design and Realization of Well Pattern Optimization Software BT - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application PB - Atlantis Press SP - 221 EP - 225 SN - 2352-538X UR - https://doi.org/10.2991/icca-16.2016.51 DO - 10.2991/icca-16.2016.51 ID - Chang2016/01 ER -