Abstract:

The dataset contains a part of the experimental run data collected in laboratory studies by a series of tests using a magnetic stirring device. This is the first part of that multilayered experiment. In this part of the experiment, the settling dynamics of oil mineral aggregates (OMA) were assessed by quantifying several factors such as floc size, porosity, density and the settling velocity of each droplet using an instrument called LabSFLOC-2, which consists of a digital video microscope and processing package. This dataset contains laboratory photos, oil-mineral floc video, flow turbulence, and floc properties data. These data are used to study the formation of OMA and their settling dynamics as well as OMA floc size distribution (settling velocity vs. floc size, and density).

Suggested Citation:

Leiping Ye; Tian-jian Hsu; Andy Manning. 2019. Sediment-Oil-Floc laboratory oil mineral aggregate (OMA) jar/shaker tests data conducted in the Center for Applied Coastal Research, Department of civil & environmental engineering, University of Delaware. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-hk1y-8h53

Purpose:

To study the formation of Oil-Mineral Aggregates (OMAs) and their settling dynamics.

Data Parameters and Units:

The excel file SCATTER_ D_Ws_Den - S02 - Done.xls: Actual SPM (Actual suspended particulate matter, 1000 mg/l); Size (Floc size, microns); Effective Density (kg/m^3); Ws (Settling velocity, mm/s); H_W_ratio (size ratio), Samples (S01-S17); Crude oil (ml); Kaolin clay (g); Bentonite clay (g); XthanGum/EPS (g); Sea water (ml). S01 = 1.0 mL Crude oil + 1000 ml Seawater S02 =1.0 mL Crude oil +1.0 g Kaolin clay + 1000 ml Seawater S03 =1.0 mL Crude oil + 1.0 g Kaolin clay + 0.1g XthanGum/EPS + 1000 ml Seawater S04 =10.0 mL Crude oil + 5.0 g Bentonite clay + 1000 ml Seawater S05 =1.0 mL Crude oil + 1.0 g Kaolin clay + 0.1g XthanGum/EPS + 1000 ml Seawater S06 =1.0 mL Crude oil + 1.0 g Bentonite clay + 1000 ml Seawater S07 =1.0 mL Crude oil + 1.0 g Bentonite clay + 0.1g XthanGum/EPS +1000 ml Seawater S08 = 1.0 g Kaolin clay + 1000 ml Seawater S09 =1.0 g Bentonite clay + 1000 ml Seawater S10 = 1.0 g Kaolin clay + 0.1g XthanGum/EPS +1000 ml Seawater S11= 1.0 g Bentonite clay + 0.1g XthanGum/EPS +1000 ml Seawater S12 = 1.0 mL Crude oil + 0.1g XthanGum/EPS +1000 ml Seawater S13 =1.0 mL Crude oil + 0.2 g XthanGum/EPS +1000 ml Seawater S14 =1.0 mL Crude oil + 0.3 g XthanGum/EPS +1000 ml Seawater S15 =1.0 mL Crude oil + 0.4 g XthanGum/EPS +1000 ml Seawater S16 =1.0 mL Crude oil + 0.5 g XthanGum/EPS +1000 ml Seawater S17 =1.0 mL Crude oil + 0.5 g Kaolin clay + 0.5 g Bentonite clay +0.1g XthanGum/EPS +1000 ml Seawater The floc images (jpg) files: "IMG_20180410_143844" image of seawater mixing with oil droplets; "IMG_20180410_145319" image of seawater mixing with oil and mineral particles; "IMG_20180410_145731" image of seawater mixed and settled with oil and mineral particles. The video file "stage1 oil floc sample.avi" shows the Labsfloc system captured the floc settling processes. The MATLAB file "VectrinoData.1LSW_180spd_2hrs_shaker_1.mat" is the flow velocity date used in this experiment and contains: Profiles_HostTime (s); Profiles_VelX (m/s); Profiles_VelY (m/s); Profiles_VelZ1 (m/s) Profiles_VelZ2 (m/s); Profiles_CorBeam1 (%); Profiles_CorBeam2 (%); Profiles_CorBeam3 (%); Profiles_CorBeam4 (%); Profiles_AmpBeam1 (dB); Profiles_AmpBeam2 (dB); Profiles_AmpBeam3 (dB); Profiles_AmpBeam4 (dB); Profiles_SNRBeam1 (dB); Profiles_SNRBeam2 (dB); Profiles_SNRBeam3 (dB); Profiles_SNRBeam4 (dB); Profiles_TimeStamp (s); Profiles_SpeedOfSound (m/s); Profiles_Temperature (C); Profiles_Range (m); Profiles_firstRecord (s); VelocityHeader_HostTime (s); VelocityHeader_AmpBeam1 (dB); VelocityHeader_AmpBeam2 (dB); VelocityHeader_AmpBeam3 (dB); VelocityHeader_AmpBeam4 (s); VelocityHeader_TimeStamp (s); VelocityHeader_SpeedOfSound (m/s); VelocityHeader_FirstPingInterval (us); VelocityHeader_SecondPingInterval (us); VelocityHeader_HorizontalVelRange (m/s); VelocityHeader_VerticalVelRange (m/s); VelocityHeader_Range (m); VelocityHeader_firstRecord (s); BottomCheck_HostTime (s); BottomCheck_CenterBeamAmp (dB); BottomCheck_CenterBeamCurveFit (dB); BottomCheck_CenterBeamBottomPeak (dB); BottomCheck_TimeStamp (s); BottomCheck_BottomDistance (m); BottomCheck_Range (m); BottomCheck_firstRecord (s).

Methods:

Sediment & oil flocs were created in laboratory jars (2L) using magnetic stirrer, and shaker devices were measured by LabSFLOC-2 system for floc size, settling velocity etc. The camera was positioned 230mm below the surface to view particles between the sizes of 5 microns and 8 millimeters. Settling flocs were seen as silhouettes and digital images were saved as non-codec compressed AVI files. With the use of Matlab routines, uncompressed images were analyzed. Using HR Wallingford Ltd. DigiFloc software version 1.0 (Benson &Manning, 2013) and JavaScript, digital recording images were processed to obtain floc size and settling velocity spectra. For detail methods, please refer to Ye, L. et al., 2018.

Instruments:

2.0-MP Grasshopper monochrome 123 digital video camera. HR Wallingford Ltd. DigiFloc software version 1.0 (Benson & Manning, 2013) and JavaScript. Vectrino-II; Doppler Velocimeter.

Provenance and Historical References:

Benson, T., & Manning, A.J. 2013. DigiFloc: The development of semi-automatic software to determine the size and settling velocity of flocs (HR Wallingford Report DDY0427- RT001). Ye, L., Manning, A. J., Hsu, T.-J., Morey, S., Chassignet, E. P., & Ippolito, T. A. (2018). Novel Application of Laboratory Instrumentation Characterizes Mass Settling Dynamics of Oil-Mineral Aggregates (OMAs) and Oil-Mineral-Microbial Interactions. Marine Technology Society Journal, 52(6), 87–90. doi:10.4031/mtsj.52.6.14

Individual Files: