Waterflooding Development Strategy Study for a Large Multi-layered Sandstone Reservoir

Li, Y.; Tian, Chong‐Bin; Zhu, Yongfa; Li, B.; Song, Benbiao; Wei, Chenji; Peng, Hui

doi:10.2118/180829-ms

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Most of oil reservoirs in China belong to continental deposits, which have multilayers, strong heterogeneity, low water displacement efficiency, and low natural energy [1]. One of the typical reservoirs in Daqing Oilfield is the terrestrial multilayered sandstone reservoir [2,3].…”

Section: Introductionmentioning

confidence: 99%

The Optimal Development Strategy Selected for Layered Sandstone Reservoir by Creating a System Economic Model

wang

Zhao

Fang

2023

International Journal of Energy Research

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To determine the development mode of layered sandstone reservoir, a system economic model was established, which thought the layer in production and its upper (downer) layer as a system, and the overall benefits of the two modes were contrasted using the existing well (UEWM) or the method of drilling a new well (DNWM); then, the upper (downer) oil layer development mode could be determined quickly by the model. The method can avoid the chemical agent effect of the upper target layer, which also makes the calculation more accurate. In the model, the cumulative oil production limits of the producing layer are described at different oil prices of DNWM and UEWM methods. Then, an economic ultimate water cut (EUWC) model is established. According to this model, when the water cut attains to EUWC, the oilfield should be abandoned. Meantime, the arctangent prediction model for water cut is combined with the water drive curve method, to forecast the accumulative oil from the planning time of the upper target layer production to the abandonment time of the first production layer of oilfield. And then, the development mode could be decided through contrast with the cumulative oil production limit. When the oil price is 40$/bbl, the EUWC of the block is 97.55%, and time is May 2020, earlier than the planned upper layer production time January 2023, so its rest cumulative production would be 0.0 × 10 4 t , which is less than the cumulative production limit of 32 × 10 4 t . Hence, the UEWM should be chosen. When the oil price is $70/bbl, EUWC is 98.93%, and the corresponding time is August 2027. From the planned return time of January 2023 to August 2027, the block has cumulative oil production of 25.54 × 10 4 t , greater than the cumulative oil limitation of 10.8 × 10 4 t . The old exiting well still has larger economic productivity; hence, the DNWM method should be chosen. This work provides theoretical support for up (down) formation development mode of production layer. It is of great significance to guide the development of layered sandstone reservoirs. The system economic model established can decide development mode with drilling wells or using exiting well, and it was first created in the field of oil reservoirs. This method fills up the theoretical blank of development mode for upper or downer layer of the producing layer in layered sandstone reservoir.

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Section: Introductionmentioning

confidence: 99%

The Optimal Development Strategy Selected for Layered Sandstone Reservoir by Creating a System Economic Model

wang

Zhao

Fang

2023

International Journal of Energy Research

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Representative Sector Modeling and Key Factors Impact on Waterflooding Performance of a Large Multi-Layered Sandstone Reservoir

Song

et al. 2017

Day 4 Thu, June 15, 2017

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M1 reservoir is a large multi-layered sandstone reservoir of deltaic environment with oil bearing area more than 500Km2. And M1 is influenced by fluvial, tide and wave, which results in great variations of sand bodies’ distribution, reservoir quality and connectivity. So it is essential to use high resolution models capturing reservoir heterogeneity for this kind of reservoirs. This paper presents an approach to representative sector modeling and key factor impact on waterflooding performance study for a large sandstone reservoir in Middle East. Firstly, Criteria of selecting representative sector models are established combining understanding of geological and dynamic characterization. Take one sector model for example, geological modeling process are detailed, and nine equal-probability geocellular models are built. Then model performances are compared through specific waterflooding patterns. Through detailed performance comparison of each well, each zone and each model of the 9 dynamic models, the reasons for model performance difference and key impacting factors on waterflooding performance are determined. And three models are selected as the optimistic, likelihood and pessimistic model for next development strategy optimization study. For the multi-layered sandstone reservoir, three representative sectors are selected mainly based on the geological features of M1. One typical sector model is selected to show the details workflow of the approach. Nine geocellular models are built for the sector, which combined three different lateral connectivity patterns with three vertical gridding approaches representing different vertical connectivity. And through detailed model performance comparison, eight key factors impacting on waterflooding performance are determined. And four key factors impact on waterflooding performance are shown in detail. This paper offers a case study of representative sector modeling and model selection for a multi-layered sandstone reservoir, and it also provide how to analyze the key factor impact on waterflooding performance. The results lay a foundation for the development strategy study and development plan designing. It also provides a methodology and reference case for engineers to study on other similar reservoirs.

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Waterflooding Development Strategy Study for a Large Multi-layered Sandstone Reservoir

Cited by 2 publications

References 14 publications

The Optimal Development Strategy Selected for Layered Sandstone Reservoir by Creating a System Economic Model

The Optimal Development Strategy Selected for Layered Sandstone Reservoir by Creating a System Economic Model

Representative Sector Modeling and Key Factors Impact on Waterflooding Performance of a Large Multi-Layered Sandstone Reservoir

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