公开(公告)号：US20220351111A1

公开(公告)日：2022-11-03

申请号：US17734856

申请日：2022-05-02

Applicant: ConocoPhillips Company

Inventor： Vishal Bang ,  Qing Tao ,  Greg S. Lemons ,  Vinit N. Rajani

IPC: G06Q10/06

Abstract: Implementations described and claimed herein provide systems and methods for predictive reservoir development. In one implementation, asset data is received for a particular asset, with the particular asset corresponding to a particular reservoir. A model of the particular asset is generated based on the asset data. Asset intelligence is generated for the particular asset at an asset life cycle stage based on the model, and development of the particular reservoir is optimized using the asset intelligence.

公开(公告)号：US20230351527A1

公开(公告)日：2023-11-02

申请号：US18139534

申请日：2023-04-26

Applicant: ConocoPhillips Company

Inventor： Jing Peng ,  Jamie McEwen ,  Vishal Bang ,  Lauren A. Borden ,  Matthew E. Nelson ,  Edythan M. Rayfield

IPC: G06Q50/02 ,  G06Q10/0631 ,  G06Q10/0637

CPC classification number: G06Q50/02 ,  G06Q10/06315 ,  G06Q10/0637

Abstract: Implementations described and claimed herein provide systems and methods for an integrated development optimization platform for well sequencing and unconventional reservoir management. The platform integrates key elements of unconventional development planning, such as production forecast, lease obligations, surface facilities, and economics and provides analysis and data associated with past and future field development and production. In addition, development optimization platform includes the parent-child relationship as one of the determining factors of production performance, which can provide valuable insights into the frac-hit impact and infill performance. The defensive re-fracs may also be incorporated to provide a more holistic view on project investment and field development. The development optimization platform is not only an optimization platform for well sequence and development planning, but also a reservoir management tool.

公开(公告)号：US10416349B2

公开(公告)日：2019-09-17

申请号：US15263501

申请日：2016-09-13

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Vishal Bang ,  Olufemi A. Jokanola

IPC: G01V99/00 ,  G01V9/00 ,  G01N33/28

Abstract: Methods for developing equation-of-states (EOS) composition models for predicting petroleum reservoir fluid behavior and understanding fluid heterogeneity in unconventional shale plays are described. In particular, limited geochemical data from samples taken from the reservoir of interested are utilized to build and tune the EOS model and improve predictions. Real-time applications are also described.