RAPID CROSS-PLOT DISCRIMINATION OF COMMERCIAL POTASH MINERALIZATION – CASE HISTORIES

2021 ◽  
Author(s):  
Donald G. Hill ◽  
◽  
E.R. Crain ◽  

Potash minerals are a source of potassium, which is used for the manufacture of gunpowder and fertilizer. Commercial potash mineralization is often discovered when petroleum wells are drilled through evaporite sequences and the Gamma Ray log “goes off scale”. This is because potassium is one of the naturally occurring radioactive elements, emitting gamma rays from the 40K isotope, in its decay to 40Ar. However, not all potash minerals may be commercial sources of potassium via underground mechanical or solution mining techniques and Potassium is not the only radioactive element. For example, the mineralogy of the McNutt “Potash” member of the Salado Formation in SE New Mexico, is extremely complex, consisting of multiple thin (i.e., less than 10 ft thick) beds of six low-grade (radioactive) potash minerals, only two of which are commercial. There are also four non-radioactive evaporite minerals, one of which interferes with potash milling chemistry, and numerous claystones and Marker Beds (shales), with GR count rates comparable to the low-grade potash. Because of this complexity, traditional wireline and Logging While Drilling Potash Assay techniques, such as Gamma Ray log-to-core assay transforms, may not be sufficient to identify potentially commercial potash mineralization, for underground mining. Crain and Anderson (1966) and Hill (2019) developed linear programming, and multi-mineral analyses, respectively, to estimate Potash mineralogy and grades. However, both of these approaches require complete sets of multiple log measurements. In SE New Mexico, petroleum wells are drilled through the McNutt “Potash” member of the Salado Formation, with air, cased and drilled out to TD in the underlying sediments, with water based mud. Complete log suites are then run from TD to the casing shoe, with only the GR and neutron logs recorded through the cased evaporite sequence for stratigraphic and structural correlation. As a result, numerous oil and gas wells, in SE New Mexico, have cased hole gamma ray and neutron logs, through the Salado Evaporite. Logs, from these wells could provide a rapid Potash screening database, if used properly. A simple screening cross-plot technique, the Potash Identification (PID) plot, utilizing only Gamma Ray and Neutron Porosity, is proposed and successfully demonstrated, as a potential screening tool. This technique can be used with both open and cased-hole petroleum well logs, as well as core hole wire-line logs, and provides discrimination of commercial potash mineralization from non-commercial (potash and non-potash) radioactive mineralization. Case histories of the use of PID cross plots in the evaporite basins of Michigan, Nova Scotia, Saskatchewan, and SE New Mexico are described. The technique may also be useful in screening potential potash deposits in China, Europe, North Africa, and South America.

2020 ◽  
Vol 5 (1) ◽  
pp. 3-14
Author(s):  
Edo Pratama ◽  
Bagus Sapto Mulyatno

The study using multi attribute seismic has been done on TG12 field which situated at Lower Foreland Formation, Barito Basin dominated by sandstone on layer area of the target X. The objective of the study is to map the sandstone reservoir by predict distribution value of gamma ray log, neutron porosity, and density which goes through wells such as FM1, FM2, FM3, and FM4 on seismic data. Total attribute that is being used by step wise regression method by considering validation error. Multiattribute process only applied on FM2, FM3, and FM4 wells, whereas FM1 is used as a test well to determine the correlation value between seismic data and log data that is being used. In addition, from well test correlation showing great correlation result of neutron porosity log and density log both obtain the correlation around 0.6322 and 0.6557 while the gamma ray log obtain low correlation that is 0.1647 towards multi attribute result. The processing result of multi attribute obtained distribution of sandstone with gamma ray estimation range value of 65-75.8API, neutron porosity estimation range value 0.15-0.2262, while density estimation range value 2.4308-2.77gr/cc.


1989 ◽  
Vol 29 (1) ◽  
pp. 269
Author(s):  
R.J. Willink

A review of existing petroleum wells in a particular basin of interest is commonly the first step in acreage evaluation and prospect identification. A rigorous assessment to determine whether a well's prospect was fully evaluated must be methodical and must incorporate reviews of petrophysical, engineering, geological, seismic and economic data.Based on Australian and international case histories, comprehensive checklists of pertinent questions that should be addressed have been formulated for each of these disciplines. Some aspects questioned are broad, and obvious to the point that they can be easily overlooked. Others are more specific and subtle and require close consultation with experts. The greatest value of these checklists' documentation is their potential as a guide for the comparatively inexperienced petroleum explorationist.Implicit in critical well re- evaluation is the need to be open minded, commencing on the premise that previous interpretations are not necessarily valid today. It should be appreciated that the first interpretation of an existing well was based on a limited data set of observations strongly influenced by the geological model in favour at the time and, as such, is extremely prone to change as additional data become available, as the economic environment changes or as new ideas are formulated.Experience has shown that significant, but as yet undetected, volumes of oil and gas may be present in prospects already drilled by one or more wells. Apparent lack of success in a well has often had an unjustifiably negative effect on further exploration in the area in which this well was drilled.


2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Jamaluddin . ◽  
Septian Tri Nugraha ◽  
Maria Maria ◽  
Emi Prasetyawati Umar

Penelitian ini bertujuan untuk menentukan potensi batuan induk di Formasi Talangakar dengan melihat parameter total organik carbon (TOC). TOC dimodelkan dengan melakukan crossplot antara TOC measured dengan log gamma ray, log densitas, log neutron-porosity, log resistivity, dan log P wave (multi linier regresi). Formasi Talangakar yang menjadi target pada studi ini terletak pada kedalaman 2280 m-2885 m, memiliki material organik yang kaya dengan TOC berkisar antara 1.09 %-1.29 %. Pemodelan TOC didapatkan regresi sebesar 0.1432 terhadap parameter log (log gamma ray, log density, log Neutron-Porosity, log Sonik, dan log Resistivity).


Author(s):  
Shuai Li ◽  
Yulin Zhang ◽  
Ru Feng ◽  
Haoxuan Yu ◽  
Jilong Pan ◽  
...  

As one of the main industrial solid wastes, there are a large number of free alkaloids, chemically bound alkaloids, fluoride, and heavy metal ions in Bayer process red mud (BRM), which are difficult to remove and easily pollute groundwater as a result of open storage. In order to realize the large-scale industrial application of BRM as a backfilling aggregate for underground mining and simultaneously avoid polluting groundwater, the material characteristics of BRM were analyzed through physical, mechanical, and chemical composition tests. The optimum cement–sand ratio and solid mass concentration of the backfilling were obtained based on several mixture proportion tests. According to the results of bleeding, soaking, and toxic leaching experiments, the fuzzy comprehensive evaluation method was used to evaluate the environmental impact of BRM on groundwater. The results show that chemically bound alkaloids that remained in BRM reacted with Ca2+ in PO 42.5 cement, slowed down the solidification speed, and reduced the early strength of red mud-based cemented backfill (RMCB). The hydration products in RMCB, such as AFT and C-S-H gel, had significant encapsulation, solidification, and precipitation inhibition effects on contaminants, which could reduce the contents of inorganic contaminants in soaking water by 26.8% to 93.8% and the leaching of toxic heavy metal ions by 57.1% to 73.3%. As shown by the results of the fuzzy comprehensive evaluation, the degree of pollution of the RMCB in bleeding water belonged to a medium grade Ⅲ, while that in the soaking water belonged to a low grade II. The bleeding water was diluted by 50–100 times to reach grade I after flowing into the water sump and could be totally recycled for drilling and backfilling, thus causing negligible effects on the groundwater environment.


Modelling ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 224-239
Author(s):  
Saeed P. Langarudi ◽  
Robert P. Sabie ◽  
Babak Bahaddin ◽  
Alexander G. Fernald

This paper explores the possibility and plausibility of developing a hybrid simulation method combining agent-based (AB) and system dynamics (SD) modeling to address the case study of produced water management (PWM). In southeastern New Mexico, the oil and gas industry generates large volumes of produced water, while at the same time, freshwater resources are scarce. Single-method models are unable to capture the dynamic impacts of PWM on the water budget at both the local and regional levels, hence the need for a more complex hybrid approach. We used the literature, information characterizing produced water in New Mexico, and our preliminary interviews with subject matter experts to develop this framework. We then conducted a systematic literature review to summarize state-of-the-art of hybrid modeling methodologies and techniques. Our research revealed that there is a small but growing volume of hybrid modeling research that could provide some foundational support for modelers interested in hybrid modeling approaches for complex natural resource management issues. We categorized these efforts into four classes based on their approaches to hybrid modeling. It appears that, among these classes, PWM requires the most sophisticated approach, indicating that PWM modelers will need to face serious challenges and break new ground in this realm.


Geophysics ◽  
1987 ◽  
Vol 52 (11) ◽  
pp. 1535-1546 ◽  
Author(s):  
Ping Sheng ◽  
Benjamin White ◽  
Balan Nair ◽  
Sandra Kerford

The spatial resolution of gamma‐ray logs is defined by the length 𝓁 of the gamma‐ray detector. To resolve thin beds whose thickness is less than 𝓁, it is generally desirable to deconvolve the data to reduce the averaging effect of the detector. However, inherent in the deconvolution operation is an amplification of high‐frequency noise, which can be a detriment to the intended goal of increased resolution. We propose a Bayesian statistical approach to gamma‐ray log deconvolution which is based on optimization of a probability function which takes into account the statistics of gamma‐ray log measurements as well as the empirical information derived from the data. Application of this method to simulated data and to field measurements shows that it is effective in suppressing high‐frequency noise encountered in the deconvolution of gamma‐ray logs. In particular, a comparison with the least‐squares deconvolution approach indicates that the incorporation of physical and statistical information in the Bayesian optimization process results in optimal filtering of the deconvolved results.


2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Sharon T. Shaheen

Under the Produced Water Act (“Act”) enacted in the 2019 regular legislative session, the New Mexico Legislature authorized the New Mexico Oil Conservation Division (“OCD”) and the New Mexico Water Quality Control Commission (“WQCC”) to regulate produced water resulting from oil and gas drilling or production. The Act governs the transportation and sale of produced water, recycled water (also referred to as recycled produced water), and treated water (also referred to as treated produced water).


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