Shut-in based production optimization of shale-gas systems

Knudsen, Brage Rugstad; Foss, Bjarne A.

doi:10.1016/j.compchemeng.2013.05.022

Cited by 42 publications

(26 citation statements)

References 175 publications

(462 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although a cross-validation in [10] of a similar realization of the proxy model (4) showed a good match with the reference model, the accuracy of the proxy model will abate over time. This is a results of the tuning technique (9d) in which only a limited window of data and shut-ins is used, as well as the prefilter.…”

Section: Updating Model Parametersmentioning

confidence: 99%

“…A simplified well and reservoir proxy model was therefore derived in [11], with modifications and extensions in [10]. Consider Figure 3 showing the grid pressure after 450 days of constant production in a simulated multi-fracture shale-gas reservoir model.…”

Section: Shale Well and Reservoir Proxy Modelingmentioning

confidence: 99%

“…the rate of the proxy model using the initial optimal parameter vector θ * with the updated proxy model from solving (10). The initially tuned proxy preserves the essential curvature in the rate transients, but displays a prominent bias.…”

Section: Updating Model Parametersmentioning

confidence: 99%

“…The cyclic shut-in scheme introduced by [6] was extended to multi-well systems and timevarying shut-ins in [10]. The problem of optimizing shut-in times for shale multi-well pads was be formulated as a mixed integer linear program (MILP), using simplified well and reservoir proxy models [11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

Knudsen

Grossmann

Foss

et al. 2014

Computers & Chemical Engineering

Self Cite

View full text Add to dashboard Cite

Suppressing the effects of liquid loading is a key issue for efficient utilization of mid and late-life wells in shale-gas systems. This state of the wells can be prevented by performing short shut-ins when the gas rate falls below the minimum rate needed to avoid liquid loading. In this paper, we present a Lagrangian relaxation based scheme for shut-in scheduling of distributed shale multiwell systems. The scheme optimizes shut-in times and a reference rate for each multi-well pad, such that the total produced rate tracks a given short-term gas demand for the field. By using simple, frequency-tuned well proxy models, we obtain a compact mixed integer formulation which by Lagrangian relaxation renders a decomposable structure. A set of computational tests demonstrates the merits of the proposed scheme. This study indicates that the method is capable of solving large field-wide scheduling problems by producing good solutions in reasonable computation times.

show abstract

Section: Updating Model Parametersmentioning

confidence: 99%

Section: Shale Well and Reservoir Proxy Modelingmentioning

confidence: 99%

Section: Updating Model Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

Knudsen

Grossmann

Foss

et al. 2014

Computers & Chemical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, most papers published before the 1980s did not pay enough attention to optimization algorithms, and successful applications were very rare (Aronofsky and Williams 1962;Wattenbarger 1970;McFarland et al 1984). With the advances in optimization algorithms and computing power, research has increased greatly since the 1980s (Sequeira et al 2002;Chacón et al 2004;Barragán et al 2005;Gunnerud and Foss 2010;Knudsen and Foss 2013;Tavallali et al 2013).…”

Section: Introductionmentioning

confidence: 99%

A review of closed-loop reservoir management

Hou

Zhou

Zhang³

et al. 2015

Pet. Sci.

View full text Add to dashboard Cite

The closed-loop reservoir management technique enables a dynamic and real-time optimal production schedule under the existing reservoir conditions to be achieved by adjusting the injection and production strategies. This is one of the most effective ways to exploit limited oil reserves more economically and efficiently. There are two steps in closed-loop reservoir management: automatic history matching and reservoir production optimization. Both of the steps are large-scale complicated optimization problems. This paper gives a general review of the two basic techniques in closed-loop reservoir management; summarizes the applications of gradient-based algorithms, gradient-free algorithms, and artificial intelligence algorithms; analyzes the characteristics and application conditions of these optimization methods; and finally discusses the emphases and directions of future research on both automatic history matching and reservoir production optimization.

show abstract

Multi‐period planning, design, and strategic models for long‐term, quality‐sensitive shale gas development

Drouven

Grossmann

2016

AIChE Journal

View full text Add to dashboard Cite

In this work we address the long-term, quality-sensitive shale gas development problem. This problem involves planning, design, and strategic decisions such as where, when, and how many shale gas wells to drill, where to lay out gathering pipelines, as well as which delivery agreements to arrange. Our objective is to use computational models to identify the most profitable shale gas development strategies. For this purpose we propose a large-scale, nonconvex, mixed-integer nonlinear programming model. We rely on generalized disjunctive programming to systematically derive the building blocks of this model. Based on a tailor-designed solution strategy we identify near-global solutions to the resulting large-scale problems. Finally, we apply the proposed modeling framework to two case studies based on real data to quantify the value of optimization models for shale gas development. Our results suggest that the proposed models can increase upstream operators' profitability by several million U.S. dollars.

show abstract

Shut-in based production optimization of shale-gas systems

Cited by 42 publications

References 175 publications

Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

Lagrangian relaxation based decomposition for well scheduling in shale-gas systems

A review of closed-loop reservoir management

Multi‐period planning, design, and strategic models for long‐term, quality‐sensitive shale gas development

Contact Info

Product

Resources

About