Well type and pattern optimization technology for large scale tight sand gas, Sulige gas field, NW China

He, Dengfa; Jia, Ailin; Ji, Guang; Wei, Yunsheng; Tang, Hao

doi:10.1016/s1876-3804(13)60008-7

Cited by 57 publications

(14 citation statements)

References 10 publications

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“…With the help of the information that is stored here, calculations can be carried out according to the type of points: some of the points require integration calculations, others require the definition of boundary limit conditions or limit conditions on wells, respectively etc.The modelling of processes occurring in the studied gas storage uses flow equations for a flat storage, defined in Cartesian coordinates [2,3] (1)…”

Section: The Numerical Model Of the Gas Storagementioning

confidence: 99%

“…While a review of the relevant speciality literature has revealed several studies that concern the modelling and optimisation of processes unfolding in gas deposits or reservoirs [1][2][3][4], most of these refer to either general problems or to the specific problem of storing carbon dioxide in depleted gas deposits [3 -4]. Furthermore, it should be mentioned that no specific studies have targeted the reservoir in the area described by this paper; also, processes unfolding in the gas collecting network are usually treated separately.…”

Section: Introductionmentioning

confidence: 99%

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Computer-aided study of the gas flow within a natural gas storage and the associated collection network

2017

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Abstract.The current paper presents a computer-aided analysis of the way in which a natural gas storage created in a depleted gas deposit and the associated gas collection network are operated, both during the extraction phase and during the injection phase. In a first step, an analysis is carried out on a two-dimensional, nonstationary model for the gas storage, based on the deposit's geometry and the rock properties, but also on the gas motions. Also, a dynamic simulation of the injection and extraction processes is unfolded, allowing the study and optimisation of elements such as well placement and gas flows through the wells with the goal of maximising the storable gas quantities. A second model is then generated for the gas collection network associated with the natural gas storage, using the simulation software Simone. Its main benefit is allowing the simulation and modelling of nonstationary flows through the network. The two models are closely interconnected, in that for the extraction stage, the output from the first model is used as input for modelling the collection network, while for the injection phase, the results from modelling the collection network are used as entry data for the gas storage model.

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Section: The Numerical Model Of the Gas Storagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computer-aided study of the gas flow within a natural gas storage and the associated collection network

2017

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“…Well configurations characterized by constant inter-well distance are common (e.g. He et al 2013), making this approach of direct use for such situations. Whenever the condition of constant well spacing is not applicable, if there exist adjacent stratigraphic portions within which inter-well distance is roughly constant, the quality-check method presented here could be applied separately for different segments.…”

Section: Case Study Example Application: Ranking Alternative Correlatmentioning

confidence: 99%

Models for guiding and ranking well-to-well correlations of channel bodies in fluvial reservoirs

Colombera¹,

Mountney²,

Felletti³

et al. 2014

Bulletin

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19A probabilistic method has been devised to assess the geologic realism of subsurface well-20 to-well correlations that entail the lateral tracing of geologic bodies across well arrays with 21 constant spacing. Models of geo-body correlability (based on the ratio between correlatable 22 and penetrated geo-bodies) are obtained from total probabilities of penetration and 23 correlation, which are themselves dependent on the distribution of lateral extent of the geo-24 body type. Employing outcrop-analog data to constrain the width distribution of the geo-25 bodies, it is possible to generate a model that describes realistic well-to-well correlation 26 patterns for given types of depositional systems. This type of correlability model can be 27 applied for checking the quality of correlation-based subsurface interpretations, by assessing 28 their geologic realism as compared with one or more suitable outcrop analogs. The 29 approach is illustrated by generating total-probability curves that refer to fluvial channel 30 complexes and that are categorized on the basis of outcrop-analog classifications (e.g. 31 braided system, system with 20% net-to-gross), employing information from a large fluvial 32 geo-body database (FAKTS) that stores information relating to fluvial architecture. From 33 2 these total-probability functions, values can be drawn to adapt the correlability models to any 1 well-array spacing. The method has been specifically applied to rank three published 2 alternative interpretations of a stratigraphic interval of the Travis Peak Formation (Texas, 3 USA) previously interpreted as a braided fluvial depositional system, in terms of realism of 4 correlation patterns as compared to (i) all analogs recorded in FAKTS and considered 5 suitable for large-scale architectural characterization, and (ii) a subset of them including only 6 systems interpreted as braided. 7 8

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“…They have produced numerous key results and have successfully completed the early exploration and development tasks (Guo et al, 2017;Ran and Li, 2008;Yang et al, 2017). Ordos Basin is composed of lenticular reservoirs, and the effective sand bodies are small in scale (Guo et al, 2014;He et al, 2013). The control reserves of wells are low, and the reservoir structure is the typical "sand-sand" binary structure (Santagiuliana et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Modeling and analyzing gas supply characteristics and development mode in sweet spots of Sulige tight gas reservoir, Ordos Basin, China

Zhang

et al. 2018

Energy Exploration & Exploitation

Self Cite

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In order to study the characteristics of the gas supply and development mode in sweet spots of Sulige tight gas reservoir in Ordos Basin, China, a mathematical model was developed for the typical lenticular reservoirs in tight gas reservoirs, and its analytical solution was obtained. The ideal model was calculated by using the analytical solution. Analysis of the production data indicated a clear boundary between the high-and low-permeability regions of the lenticular reservoir, and the boundary will supply gas to the low-permeability region. The reliability of this finding was validated by real production data. The development mode of the lenticular reservoir was obtained, that is the high-permeability area was first used during the initial production; when the pressure wave reached the boundary in the high-permeability region, the production showed a pseudo-steady state; further increase of the production pressure exceeding the threshold of the surrounding low-permeability region triggered the utilization of the low-porosity and low-permeability regions. The established model can provide useful guidance for the development of similar tight gas reservoirs.

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Well type and pattern optimization technology for large scale tight sand gas, Sulige gas field, NW China

Cited by 57 publications

References 10 publications

Computer-aided study of the gas flow within a natural gas storage and the associated collection network

Computer-aided study of the gas flow within a natural gas storage and the associated collection network

Models for guiding and ranking well-to-well correlations of channel bodies in fluvial reservoirs

Modeling and analyzing gas supply characteristics and development mode in sweet spots of Sulige tight gas reservoir, Ordos Basin, China

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