Produced Water Chemistry History Matching Using a 1D Reactive Injector Producer Reservoir Model

2013 ◽  
Author(s):  
Oscar Vazquez ◽  
Ross McCartney ◽  
Eric Mackay
Keyword(s):  
Water Chemistry ◽  
History Matching ◽  
Produced Water ◽  
Reservoir Model

Produced-Water-Chemistry History Matching Using a 1D Reactive Injector/Producer Reservoir Model

2013 ◽  
Vol 28 (04) ◽  
pp. 369-375 ◽  
Author(s):  
Oscar Vazquez ◽  
Ross A. McCartney ◽  
Eric Mackay
Keyword(s):  
Water Chemistry ◽  
History Matching ◽  
Produced Water ◽  
Reservoir Model

Use of Water Chemistry Data in History Matching of a Reservoir Model

2012 ◽  
Author(s):  
Daniel Arnold ◽  
Oscar Vazquez ◽  
Vasily Demyanov ◽  
Michael A. Christie
Keyword(s):  
Water Chemistry ◽  
History Matching ◽  
Reservoir Model ◽  
Chemistry Data

Seawater Breakthrough Monitoring and Reservoir-Model Improvement Using Natural Boron

2021 ◽  
Author(s):  
Yanqing Wang ◽  
Zhe Liu ◽  
Xiang Li ◽  
Shiqian Xu ◽  
Jun Lu
Keyword(s):  
Production Rate ◽  
History Matching ◽  
Produced Water ◽  
Clay Content ◽  
Ion Concentration ◽  
Geochemical Data ◽  
Reservoir Model ◽  
Concentration Data ◽  
Water Breakthrough ◽  
Reservoir Simulator

Abstract Natural geochemical data, which refer to the natural ion concentration in produced water, contain important reservoir information, but is seldomly exploited. Some ions were used as conservative tracers to obtain better knowledge of reservoir. However, using only conservative ions can limit the application of geochemical data as most ions are nonconservative and can either interact with formation rock or react with other ions. Besides, mistakenly using nonconservative ion as being conservative may cause unexpected results. In order to further explore the nonconservative natural geochemical information, the interaction between ion and rock matrix is integrated into the reservoir simulator to describe the nonconservative ion transport in porous media. Boron, which is a promising nonconservative ion, is used to demonstrate the application of nonconservative ion. Based on the new model, the boron concentration data together with water production rate and oil production rate are assimilated through ensemble smoother multiple data assimilation (ES-MDA) algorithm to improve the reservoir model. Results indicate that including nonconservative ion data in the history matching process not only yield additional improvement in permeability field, but also can predict the distribution of clay content, which can promote the accuracy of using boron data to determine injection water breakthrough percentage. However, mistakenly regarding nonconservative ion being conservative in the history matching workflow can deteriorate the accuracy of reservoir model.

Produced-Water-Chemistry History Matching in the Janice Field

2015 ◽  
Vol 18 (04) ◽  
pp. 564-576 ◽  
Author(s):  
O.. Vazquez ◽  
C.. Young ◽  
V.. Demyanov ◽  
D.. Arnold ◽  
A.. Fisher ◽  
...  
Keyword(s):  
Water Chemistry ◽  
Production Rate ◽  
History Matching ◽  
Produced Water ◽  
Chloride Concentration ◽  
Pso Algorithm ◽  
Sources Of Information ◽  
Water Production Rate ◽  
Oilfield Operations ◽  
Complex Faulting

Summary Produced-water-chemistry (PWC) data are the main sources of information to monitor scale precipitation in oilfield operations. Chloride concentration is used to evaluate the seawater fraction of the total produced water per producing well and is included as an extra history-matching constraint to reevaluate a good conventionally history-matched (HM) reservoir model for the Janice field. Generally, PWC is not included in conventional history matching, and this approach shows the value of considering the nature of the seawater-injection front and the associated brine mixing between the distinctive formation water and injected seawater. Adding the extra constraint resulted in the reconceptualization of the reservoir geology between a key injector and two producers. The transmissibility of a shale layer is locally modified within a range of geologically consistent values. Also, a major lineament is identified which is interpreted as a northwest/southeast-trending fault, whereby the zero transmissibility of a secondary shale in the Middle Fulmar is locally adjusted to allow crossflow. Both uncertainties are consistent with the complex faulting known to exist in the region of the targeted wells. Other uncertainties that were carried forward to the assisted-history-matching phase included water allocation to the major seawater injectors; thermal fracture orientation of injectors; and the vertical and horizontal permeability ratio (Kv/Kh) of the Fulmar formation. Finally, a stochastic particle-swarm-optimization (PSO) algorithm is used to generate an ensemble of HM models with seawater fraction as an extra constraint in the misfit definition. Use of additional data in history matching has improved the original good HM solution. Field oil-production rate is interpreted as improved over a key period, and although no obvious improvement was observed in field water-production rate, seawater fraction in a number of wells was improved.

Produced Water Chemistry History Matching in the Janice Field

2013 ◽  
Author(s):  
O. Vazquez ◽  
C. Young ◽  
V. Demyanov ◽  
A. Arnold ◽  
A. Fisher ◽  
...  
Keyword(s):  
Water Chemistry ◽  
History Matching ◽  
Produced Water

scholarly journals Water–rock interaction and the concentrations of major, trace, and rare earth elements in hydrocarbon-associated produced waters of the United States

2021 ◽  
Author(s):  
Carleton R. Bern ◽  
Justin E. Birdwell ◽  
Aaron M. Jubb
Keyword(s):  
United States ◽  
Rare Earth ◽  
Rare Earth Elements ◽  
Water Chemistry ◽  
Produced Water ◽  
The United States ◽  
Rock Interaction ◽  
Produced Waters ◽  
Water Rock Interaction

Comparisons of hydrocarbon-produced waters from multiple basins and experiments using multiple shales illustrate water–rock interaction influence on produced water chemistry.

Reservoir Model Maturation and Assisted History Matching Based on Production and 4D Seismic Data

2014 ◽  
Author(s):  
Gerard J.P. Joosten ◽  
Asli Altintas ◽  
Gijs Van Essen ◽  
Jorn Van Doren ◽  
Paul Gelderblom ◽  
...  
Keyword(s):  
Seismic Data ◽  
History Matching ◽  
Reservoir Model ◽  
Assisted History Matching ◽  
4D Seismic
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