Case Study: a new approach for enhanced reservoir characterization and optimization: Spirit River Group
Posted Thursday September 7th, 2017, 12:45 pm
The Spirit River Group represents one the most prolific reservoirs successions in Alberta. The uppermost Falher & Notikewan Members are the principal reservoirs, however new technology has extended production into the deeper ‘tighter’ Wilrich intervals. The key to enhanced production is a robust stratigraphic model for improved well bore placement and cost effective RQ modelling for frac optimization based on new geological data.
The Chemostrat workflow permits a fresh look at the different strata of the Spirit River Group and can be acquired for a fraction of time and resources necessary for petrographic or XRD data.
Elemental data can be used for multiple applications including stratigraphy, mineralogy, rocks mechanics and reservoir quality for geosteering or completion optimization. The results of analysis run on select Spirit River cores indicate that the elemental data can confidently distinguish the Wilrich and Fahler units, which have very different geochemical signatures.
Please download our flyer -Spirit River.
We will be hosting a Lunch & Learn in Calgary on 21st September 2017. To find out more please contact Kirsten.
Posted Tuesday September 5th, 2017, 3:03 pm
Congratulations to Marta Barbarano who has won the Best Oral Presentation Award recipient for her talk, Geographical and stratigraphical provenance changes in the Lower Cretaceous McMurray Formation, Alberta, Canada, as revealed by heavy mineral analysis and detrital zircon U‐Pb geochronology. Scores were compiled from the GeoConvention audience through their mobile app voting and her score was among the best in the oral presentation category out of nearly 360 total talks!
Marta was delighted hearing she'd one the award. "The McMurray Formation is, by far, my favourite working area, both for performing analysis and for challenging myself with interpreting the data. The most recent publications on the heavy minerals of the formation are from the 1950s and there is not much published zircon geochronology either. Thus, studying the provenance of the McMurray Fm. feels quite pioneering." Marta is looking forward having the opportunity of extending the dataset!
The talk integrates Chemostrat and published data – geochemistry, mineralogy (heavy mineral analysis performed both optically and with Raman spectroscopy) and zircon geochronology – in order to clarify the provenance of the McMurray Formation, part of the Athabasca Oil Sands of Alberta. In a fluvial succession, such as the study one, hydraulic sorting can play an important role in controlling heavy mineral assemblages, however we show that the main stratigraphical and geographical changes observed in available datasets are likely controlled by sediment provenance. Data can be used for mapping distinct fluvial tributaries and stacked fluvial channels, which is critical when designing production with the Steam Assisted Gravity Drainage (SAGD) method, largely applied in oil sands.
Please download a pdf. copy of Marta's presentation here - Barbarano_McMurray Fm. Provenance
For further information please contact Marta or Gemma.
Posted Thursday March 23rd, 2017, 2:41 pm
2nd – 5th April 2017 - George R Brown Convention Centre, Houston
Come by and see us at Booth #2016 in the exhibition hall and hear about our new unconventional workflows. We rapidly and cost effectively place mineralogy, TOC, RHOB and porosity into a high resolution stratigraphic framework around and between pads. This is done by cuttings analysis from each lateral well you drill.
We are presenting 3 Papers at the show. Click here to download the abstracts: AAPG2017 Abstracts
Posted Thursday March 24th, 2016, 9:29 am
Chemostrat have developed new products aimed squarely at improving success and reducing costs in unconventional plays. The products take elemental, mineralogical and TOC data acquired from cuttings samples in lateral wells and translate them into rock mechanics properties (YM,PR), gamma API values, sonic values (DTC, DTS) and porosity. These variables are key to understanding unconventional reservoirs and we can provide them quickly and cost effectively at the well-site or as hotshots in our laboratories.
The aim of our products is to impact drilling and completions by providing data that would otherwise require downhole logging, or simply not be available in a timeframe to impact decisions.
Portable mineral, TOC and elemental analysers form the basis for our shale play services, complimented by our unique lab-based chronostratigraphic 13Corg service. Our instruments are truly portable and require no more than desk-space and power. Data can be gathered real-time at the well head or as a post drill hotshot service with results available within days and prior to completions.
Our XRF-based elemental analysers are 100% non-destructive and require no cuttings preparation beyond a rig-site lith wash. This means our service fast and cost effective, but still provides high quality data.
Our IR-based mineral and TOC analysers require <1g of powdered sample and analysis takes c. 30seconds to produce mineralogy and TOC. This means our mineralogy and TOC service is unrivalled for speed and cost effectiveness.
Our lab-based 13Corg service provides chronostratigraphic information on a basin wide to lateral well scale from core and cuttings analysis that have TOC>0.5%. In unconventional plays the cost effective, rapid capability of this service means it is a better option for correlation than biostratigraphy.
* Elemental data (wt % major element oxides and ppm trace element concentrations)
* Mineral data (quartz, total carbonate (with indicative dolomite) illite-smectite, chlorite, kaolinite and pyrite)
* Total Organic Carbon (weight %TOC)
* Mineral facies, Youngs Modulus (YM), Poisson’s Ration (PR), Sonic shear and compressive (DTC, DTS), Gamma API values, matrix density and porosity for each sample analysed.
Posted Monday July 13th, 2015, 10:12 am
An independent, regional chemostratigraphic correlation has been constructed for the Cretaceous and Jurassic successions penetrated by offshore wells from across the Grand Banks area and includes key exploration wells from the: Orphan, Flemish Pass, Jeanne d’Arc and Carson basins, in addition to wells from the Outer Ridge Complex. Geochemical data have been collected via ICP instruments from a total of 28 wells, with a further 24 wells currently under investigation (data available from early September, 2015).
Cuttings samples were collected from base Tertiary through to TD, with a focus on the Jurassic and Cretaceous successions and includes the organic-rich source rock intervals of the Rankin Formation and the prolific, syn-rift sandstones of the Jeanne d’Arc, Fortune Bay, Hibernia and Avalon units. An independent chemostratigraphic correlation, comprising first, second and third-order chemostratigraphic divisions, was developed across the study area and integrated, where possible, with existing lithostratigraphic and biostratigraphic data, providing a high resolution stratigraphic framework with which to calibrate wireline and seismic based correlations. The chemostratigraphic correlation is based on up-sequence variations in key elements and elemental ratios reflecting changes in lithology, clay mineralogy, heavy mineral and feldspar assemblages and organic matter preservation. Furthermore, spatial variations in these mineral phases allows for inferences to be made regarding sediment input and organic preservation.
The elemental data used to produce the chemostratigraphic zonations and correlations have been further utilised to calculate mineralogy (ChemMin) and TOC over the well sections. The predicted mineralogy was calibrated against a sub-set of XRD data to provide a tailored and high-resolution mineralogical model across the entire Grand Banks area, utilising a fraction of the XRD analyses that would otherwise be required. The resultant mineralogical logs provide a strong visual summary of the bulk mineralogy across the analysed successions in each well, as well as providing a means of quickly assessing which minerals principally control the E-log responses. Although the geochemical data acquired is inorganic in nature, there are elements within the dataset that can be associated with organic material, for example U, Mo and Ni. Using the same principals developed for the mineral modelling described above, it was possible to estimate relative TOC abundance using elemental proxies, with this data being further supplemented and calibrated with acquired TOC data.
In addition to the extensive Grand Banks dataset, geochemical data have been acquired from the nearby Hopedale and Saglek basins (offshore Labrador) and Scotian Margin (including the Scotian Shelf and Scotian Slope) with a total of 24 wells being analysed to date.
Wells can be purchased individually or as area parcels. The data and interpretations are presented in a GIS-based data package which includes raw data (.xls, .csv), tabulated tops, key figures, chemical maps and study report – AVAILABLE NOW. Further details on the study can be found here.