Fractured horizontal well productivity prediction in tight oil reservoirs

Hu, Jinghong; Zhang, Chong; Rui, Zhenhua; Yu, Yanlong; Chen, Zhangxin

doi:10.1016/j.petrol.2016.12.037

Cited by 59 publications

(22 citation statements)

References 25 publications

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“…This stage is mainly dominated by fracture spacing. At this pseudo-radial flow regime, we can start to detect the MWPI for type Figure 1b (2). The slope of the DPD curves is actually bigger than 0.…”

Section: Identification Of Mwpi Using Flow Regimementioning

confidence: 85%

A Semi-Analytical Methodology for Multiwell Productivity Index of Well-Industry-Production-Scheme in Tight Oil Reservoirs

Liu

Meng

Cui³

et al. 2018

Energies

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Abstract:Recently, the well-industry-production-scheme (WIPS) has attracted more and more attention to improve tight oil recovery. However, multi-well pressure interference (MWPI) induced by well-industry-production-scheme (WIPS) strongly challenges the traditional transient pressure analysis methods, which focus on single multi-fractured horizontal wells (SMFHWs) without MWPI. Therefore, a semi-analytical methodology for multiwell productivity index (MPI) was proposed to study well performance of WIPS scheme in tight reservoir. To facilitate methodology development, the conceptual models of tight formation and WIPS scheme were firstly described. Secondly, seepage models of tight reservoir and hydraulic fractures (HFs) were sequentially established and then dynamically coupled. Numerical simulation was utilized to validate our model. Finally, identification of flow regimes and sensitivity analysis were conducted. Our results showed that there was good agreement between our proposed model and numerical simulation; moreover, our approach also gave promising calculation speed over numerical simulation. Some expected flow regimes were significantly distorted due to WIPS. The slope of type curves which characterize the linear or bi-linear flow regime is bigger than 0.5 or 0.25. The horizontal line which characterize radial flow regime is also bigger 0.5. The smaller the oil rate, the more severely flow regimes were distorted. Well rate mainly determines the distortion of MPI curves, while fracture length, well spacing, fracture spacing mainly determine when the distortion of the MPI curves occurs. The bigger the well rate, the more severely the MPI curves are distorted. While as the well spacing decreases, fracture length increases, fracture spacing increases, occurrence of MWPI become earlier. Stress sensitivity coefficient mainly affects the MPI at the formation pseudo-radial flow stage, almost has no influence on the occurrence of MWPI. This work gains some addictive insights on multi-well performance for WIPS scheme in tight reservoir, which can provide considerable guidance on fracture properties estimation as well as well adjustment of production operation for WIPS scheme.

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Section: Identification Of Mwpi Using Flow Regimementioning

confidence: 85%

A Semi-Analytical Methodology for Multiwell Productivity Index of Well-Industry-Production-Scheme in Tight Oil Reservoirs

Liu

Meng

Cui³

et al. 2018

Energies

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“…The pressuresensitive effects are not considered in most of their studies as well (Hu et al, 2014). Some other researchers analyzed the influence of pressure on the fluid density changes and obtained the relationship between sulfide solubility and pressure in the reservoir fluid through many experiments (Hu et al, 2014(Hu et al, , 2017bZhao et al, 2015;Bian et al, 2016;Guo and Wang, 2016;He et al, 2016;Mao et al, 2016;Ou et al, 2016;Ren et al, 2016;Sun et al, 2016;Roberts, 2017;Li et al, 2018). Other researchers also used mathematical methods, such as Grey Correlation Method, to predict the sulfur solubility (Bian et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The impact of sulfur precipitation in developing a sour gas reservoir with pressure-sensitive effects

2019

Adv. Geo-Energ. Res.

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During the development of high sulfur gas fields, gaseous sulfur is likely to precipitate and deposit in the reservoirs due to the changes of temperature, pressure, and gas compositions. Therefore, how to establish an accurate prediction model of elemental sulfur solubility in gas mixtures is a key issue. At present, most scholars use Roberts elemental sulfur solubility model (SPE Reserv. Eng. 1997, 12(2): 118-123) to describe the damage caused by sulfur deposition in high-sulfur gas reservoirs. However, some scholars believe that the Roberts model needs to be improved and relevant works have been done. In this study, a one-dimensional radial production model is established using the HU model (J. Nat. Gas Sci. Eng. 2014, 18: 31-38) and the Roberts elemental sulfur solubility model. These models can be used to describe the permeability and pressure changes caused by sulfur deposition more accurately. The results show that the permeability and pressure changes in the Roberts model are larger than that of which in the HU model and the pressure-sensitive effects may increase the reservoir damage. The comparison of the calculated results with the true values shows that the HU model is more accurate. This paper may change a number of views about sulfur deposition in high-sulfur gas reservoirs.

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“…Production rates in tight reservoirs decline quickly after a short period of high production [18]. How to effectively evaluate production performance has become a significant challenge [19][20][21]. Production logging tests (PLTs) are an effective tool to measure the downhole production profile.…”

Section: Introductionmentioning

confidence: 99%

An Improved Rate-Transient Analysis Model of Multi-Fractured Horizontal Wells with Non-Uniform Hydraulic Fracture Properties

Cheng

Rui

et al. 2018

Energies

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Although technical advances in hydraulically fracturing and drilling enable commercial production from tight reservoirs, oil/gas recovery remains at a low level. Due to the technical and economic limitations of well-testing operations in tight reservoirs, rate-transient analysis (RTA) has become a more attractive option. However, current RTA models hardly consider the effect of the non-uniform production on rate decline behaviors. In fact, PLT results demonstrate that production profile is non-uniform. To fill this gap, this paper presents an improved RTA model of multi-fractured horizontal wells (MFHWs) to investigate the effects of non-uniform properties of hydraulic fractures (production of fractures, fracture half-length, number of fractures, fracture conductivity, and vertical permeability) on rate transient behaviors through the diagnostic type curves. Results indicate obvious differences on the rate decline curves among the type curves of uniform properties of fractures (UPF) and non-uniform properties of fractures (NPF). The use of dimensionless production integral derivative curve magnifies the differences so that we can diagnose the phenomenon of non-uniform production. Therefore, it's significant to incorporate the effects of NPF into the RDA models of MFHWs, and the model proposed in this paper enables us to better evaluate well performance based on long-term production data.

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Fractured horizontal well productivity prediction in tight oil reservoirs

Cited by 59 publications

References 25 publications

A Semi-Analytical Methodology for Multiwell Productivity Index of Well-Industry-Production-Scheme in Tight Oil Reservoirs

A Semi-Analytical Methodology for Multiwell Productivity Index of Well-Industry-Production-Scheme in Tight Oil Reservoirs

The impact of sulfur precipitation in developing a sour gas reservoir with pressure-sensitive effects

An Improved Rate-Transient Analysis Model of Multi-Fractured Horizontal Wells with Non-Uniform Hydraulic Fracture Properties

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