Self-adapt reservoir clusterization method to enhance robustness of well placement optimization

Janiga, Damian; Czarnota, Robert; Stopa, Jerzy; Wojnarowski, Paweł

doi:10.1016/j.petrol.2018.10.005

Cited by 46 publications

(14 citation statements)

References 51 publications

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“…Source: typical values for reservoirs located in the Carpathian area of Poland, internal AGH UST Drilling, Oil and Gas faculty report. Adapted from Janiga et al [33]. Figure 13.…”

Section: Reservoir Simulation Modelmentioning

confidence: 99%

End-Point Model for Optimization of Multilateral Well Placement in Hydrocarbon Field Developments

et al. 2020

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Drilling cost is one of the most critical aspects in the reservoir management plan. Costs may exceed a million dollars; thus, optimal designing of the well trajectory in the reservoir and completion are essential. The implementation of a multilateral well (MLW) in reservoir management has great potential to optimize oil production. The object of this study is to develop an integrated workflow of end-point multilateral well placement optimization integrated with the reservoir simulator supported by artificial intelligence (AI) methods. The paper covers various types of MLW construction, including: horizontal, bi-, tri-, and quad-lateral wells. For quad-lateral wells, the capital expenditure is highest; nevertheless, acceleration of oil production affects the project’s NPV (net present value), indicating the type of well that is most promising to implement in the reservoir. Tri- and quad-lateral wells can operate for 12.1 and 9.8 years with a constant production rate. The decreasing hydrocarbon production rate is affected by reservoir pressure and the reservoir water production rate. Other well design patterns can accelerate water production. The well’s optimal trajectory was evaluated by the genetic algorithm (GA) and particle swarm optimization (PSO). The major difference between the GA and PSO optimization runs is visible with respect to water production and is related to the modification of one well branch trajectory in a reservoir. The proposed methodology has the advantage of easy implementation in a closed-loop optimization system coupled with numerical reservoir simulation. The paper covers the solution background, an implementation example, and the model limitations.

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“…Source: typical values for reservoirs located in the Carpathian area of Poland, internal AGH UST Drilling, Oil and Gas faculty report. Adapted from Janiga et al [33]. Figure 13.…”

Section: Reservoir Simulation Modelmentioning

confidence: 99%

End-Point Model for Optimization of Multilateral Well Placement in Hydrocarbon Field Developments

et al. 2020

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“…Evolutionary algorithms, evolution strategy, and swarm algorithms are among the three commonly used derivative-free algorithms [13][14][15][16][17][18][19]. Different approaches have been proposed to optimize well placement, including statistical methods, reservoir engineering methods, and proxy models [10,20,21].…”

Section: Introductionmentioning

confidence: 99%

Development Favorable Area and Productivity Potential Evaluation Method of a Tight Oil Reservoir

et al. 2021

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Tight oil resources have become the focus of unconventional oil and gas exploration and development. Well placement is an essential factor determining the development of a field. Oil wells should be located in the area with favorable criteria for development. These areas should be screened based upon oil and gas enrichment of the reservoir. The influencing factors and analysis theory of an enrichment area are summarized in this paper. Two types of methods evaluating areas favorable for tight oil and gas production are explained here as well, including model prediction and the combination of geological modeling and reservoir simulation. The area with favorable geological, engineering, and economic attributes has the best development potential. The productivity potential can be used as one basis for selecting areas favorable for production. Based on the previous concept of productivity potential, combined with the characteristics of a tight oil reservoir, this study modified the evaluation of productivity potential, and the calculated potential area was the priority for well placement. The modified equation of productivity potential comprehensively considers effective pore pressure, mobile oil saturation, porosity, permeability, effective thickness, distance from the boundary, and threshold pressure gradient. A tight reservoir was taken as an example for calculation, and the results of the modified method, original productivity potential method, and reserve abundance calculation method are discussed. Two new wells were arranged in the favorable areas obtained by different productivity potential evaluation methods, and the production was calculated under the same parameters for each method. The recovery of this area was 51.65%, which is 1.73% and 2.84% higher than that of the other two methods.

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“…On the other hand, the miscibility was usually considered as a thermodynamic state that the solution is homogeneous 13 . No experimental or theoretical methods can be applied to directly quantify the miscibility 14‐18 . In the petroleum engineering, a quantity called minimum miscibility pressure (MMP) was usually applied to distinguish the miscible and immiscible states 19‐21 .…”

Section: Introductionmentioning

confidence: 99%

Quantitative distinction of thermodynamic soluble and miscible states

2020

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Soluble and miscible states are two important thermodynamic states in academic research and practical applications but their quantitative distinctions are still fuzzy. In this study, for the first time, the mathematical formulations of the quantitative criteria for distinguishing the thermodynamic soluble and miscible states are analytically developed by means of the Flory-Huggins solution theory and solubility parameter. The quantitative bottom and upper solubility limits for a total of 13 binary and ternary mixtures are calculated at different conditions. Moreover, the composition, temperature and pore radius are specifically studied to evaluate their effects on the soluble and miscible states. On the basis of the work from this study, the insoluble, soluble but immiscible, and miscible states are definitively quantified and clearly distinguished for the first time. K E Y W O R D S Flory-Huggins solution theory, miscible state, quantitative distinction, solubility parameter, soluble state, thermodynamics

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Self-adapt reservoir clusterization method to enhance robustness of well placement optimization

Cited by 46 publications

References 51 publications

End-Point Model for Optimization of Multilateral Well Placement in Hydrocarbon Field Developments

End-Point Model for Optimization of Multilateral Well Placement in Hydrocarbon Field Developments

Development Favorable Area and Productivity Potential Evaluation Method of a Tight Oil Reservoir

Quantitative distinction of thermodynamic soluble and miscible states

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