Annual Ore Reserve and Mineral Resource Statement

Companies

Resolute Mining Limited NPV (DI) (RSG)

UK 100

Latest directors dealings

6 hours ago Luceco
6 hours ago Helios Towers
6 hours ago Wise Class A
6 hours ago EDX Medical Group Plc
7 hours ago Naked Wines

All directors dealings today

ORE RESERVES (100% BASIS)
ORE RESERVES ¹	PROVED			PROBABLE			TOTAL RESERVES
As at December 2020	Tonnes	g/t	oz	Tonnes	g/t	oz	Tonnes	g/t	oz
As at December 2020	(000s)		(000s)	(000s)		(000s)	(000s)		(000s)
Syama	2,790	1.6	145	34,800	2.8	3,120	37,600	2.7	3,270
Mako	6,440	1.7	343	6,840	2.0	438	13,300	1.8	780
Bibiani				6,400	3.3	660	6,400	3.3	660
Ore Reserves	9,220	1.6	488	48,100	2.7	4,220	57,300	2.6	4,710

MINERAL RESOURCES (100% BASIS)
MINERAL RESOURCES ¹	MEASURED			INDICATED			INFERRED			TOTAL RESOURCES
As at December 2020	Tonnes	g/t	oz	Tonnes	g/t	oz	Tonnes	g/t	Oz	Tonnes	g/t	oz
As at December 2020	(000s)		(000s)	(000s)		(000s)	(000s)		(000s)	(000s)		(000s)
Syama	17,100	3.5	1,940	41,500	2.9	3,890	30,400	1.8	1,730	89,100	2.6	7,560
Mako	7,100	1.6	365	9,590	1.8	559	1,210	1.0	40	17,900	1.7	965
Bibiani				13,300	3.5	1,490	8,440	3.7	1,010	21,700	3.6	2,500
Mineral Resources	24,200	3.0	2,310	64,400	2.9	5,940	40,100	2.2	2,780	129,000	2.7	11,000

ORE RESERVES STATEMENT
ORE RESERVES	PROVED			PROBABLE			TOTAL RESERVES			Group Share
As at December 2020	Tonnes	g/t	oz	Tonnes	g/t	oz	Tonnes	g/t	oz	oz
As at December 2020	(000s)		(000s)	(000s)		(000s)	(000s)		(000s)	(000s)
Mali										80%
Syama Underground	0	0.0	0	26,800	2.8	2,440	26,800	2.8	2,440	1,950
Syama Stockpiles	675	2.0	42	1,810	1.3	77	2,480	1.5	120	96
Sub Total (Sulphides)	675	2.0	42	28,600	2.7	2,510	29,300	2.7	2,560	2,040
Satellite Deposits	0	0.0	0	1,810	2.2	129	1,810	2.2	129	103
Stockpiles (Satellite Deposits)	860	1.5	41	1,400	1.0	43	2,260	1.2	84	67
Sub Total Satellite Deposits	860	1.5	41	3,210	1.7	172	4,070	1.6	213	171
										90%
Tabakoroni Underground	0	0.0	0	2,910	4.6	430	2,910	4.6	430	387
Tabakoroni Open Pit	295	1.6	15	97	1.6	5	392	1.6	20	18
Tabakoroni Stockpiles	950	1.5	46	0	0.0	0	955	1.5	46	42
Sub Total Tabakoroni	1,250	1.5	61	3,000	4.5	435	4,250	3.6	496	447
Mali Total	2,790	1.6	145	34,800	2.8	3,120	37,600	2.7	3,270	2,660
Senegal										90%
Mako	3,860	2.0	245	6,840	2.0	438	10,700	2.0	682	614
Mako Stockpiles	2,580	1.2	98	0	0.0	0	2,580	1.2	98	88
Senegal Total	6,440	1.7	343	6,840	2.0	438	13,300	1.8	780	702
Ghana										90%
Bibiani	0	0.0	0	6,400	3.3	660	6,400	3.3	660	594
Ghana Total	0	0.0	0	6,400	3.3	660	6,400	3.3	660	594
Total Ore Reserves	9,220	1.6	488	48,100	2.7	4,220	57,300	2.6	4,710	3,960

MINERAL RESOURCES STATEMENT
MINERAL RESOURCES	MEASURED			INDICATED			INFERRED			TOTAL RESOURCES			Group Share
As at December 2020	Tonnes	g/t	oz	Tonnes	g/t	oz	Tonnes	g/t	oz	Tonnes	g/t	oz	oz
As at December 2020	(000s)		(000s)	(000s)		(000s)	(000s)		(000s)	(000s)		(000s)	(000s)
Projects where Resolute has a controlling interest
Mali													80%
Syama Underground	14,100	3.9	1,760	22,300	3.2	2,290	4,230	3.4	458	40,700	3.4	4,510	3,610
Stockpiles (Sulphide)	676	2.0	42	1,810	1.3	77	0	0.0	0	2,480	1.5	120	96
Sub Total (Sulphides)	14,800	3.8	1,810	24,100	3.0	2,370	4,230	3.4	458	43,200	3.3	4,630	3,700
Satellite Deposits	0	0.0	0	10,800	2.0	709	1,830	2.0	115	12,700	2.0	824	659
Stockpiles (Satellite Deposits)	860	1.5	41	1,400	1.0	43	45	1.1	2	2,310	1.2	86	68
Sub Total Satellite Deposits	860	1.5	41	12,200	1.9	752	1,870	1.9	117	15,000	1.9	910	728
Old Tailings	0	0.0	0	0	0.0	0	17,000	0.7	365	17,000	0.7	365	292
													90%
Tabakoroni Open Pit	287	2.4	22	726	3.1	72	15	3.6	2	1,030	2.9	95	86
Tabakoroni Underground	211	4.4	30	4,440	4.9	669	3,460	4.8	536	8,110	4.8	1,270	1,140
Tabakoroni Satellite Deposits	0	0.0	0	0	0.0	0	3,820	2.0	247	3,820	2.0	247	223
Tabakoroni Stockpiles	955	1.5	46	0	0.0	0	0	0.0	0	955	1.5	46	42
Sub Total Tabakoroni	1,450	2.1	98	5,170	4.6	771	7,300	3.3	785	13,900	3.7	1,650	1,490
Mali Total	17,100	3.5	1,940	41,500	2.9	3,890	30,400	1.8	1,730	89,100	2.6	7,560	6,210
Senegal													90%
Mako	4,530	1.8	267	9590	1.8	559	1,210	1.0	40	15,300	1.8	867	780
Mako Stockpile	2,580	1.2	98	0	0.0	0	0	0.0	0	2,580	1.2	98	88
Mako Total	7,100	1.6	365	9,590	1.8	559	1,210	1.0	40	17,900	1.7	965	869
Ghana													90%
Bibiani	0	0.0	0	13,300	3.5	1,490	8,440	3.7	1,010	21,700	3.6	2,500	2,250
Ghana Total	0	0.0	0	13,300	3.5	1,490	8,440	3.7	1,010	21,700	3.6	2,500	2,250
Total Mineral Resources	24,200	3.0	2,310	64,400	2.9	5,940	40,100	2.2	2,780	129,000	2.7	11,000	9,330

Activity	Competent Person	Membership Institution
Syama Resource	Susan Havlin	Australasian Institute of Mining and Metallurgy
Syama Reserve	Bradley Watson	Australasian Institute of Mining and Metallurgy
Northern Pits Resource	Nic Johnson	Australian Institute of Geoscientists
Syama Tailings Facility	Susan Havlin	Australasian Institute of Mining and Metallurgy
Bibiani Resource	Kahan Cervoj	Australasian Institute of Mining and Metallurgy
Bibiani Reserve	Bradley Watson	Australasian Institute of Mining and Metallurgy
Tabakoroni OP Resource	Susan Havlin	Australasian Institute of Mining and Metallurgy
Tabakoroni OP Reserves	Samuel Pobee	Australasian Institute of Mining and Metallurgy
Tabakoroni UG Resource	Susan Havlin	Australasian Institute of Mining and Metallurgy
Tabakoroni UG Reserves	Otto Richter	Australasian Institute of Mining and Metallurgy
Tellem Resource	Nic Johnson	Australian Institute of Geoscientists
Tellem Reserves	Samuel Pobee	Australasian Institute of Mining and Metallurgy
Cashew NE Resource	Bruce Mowat	Australasian Institute of Mining and Metallurgy
Cashew NE Reserves	Samuel Pobee	Australasian Institute of Mining and Metallurgy
Paysans Resource	Bruce Mowat	Australasian Institute of Mining and Metallurgy
Paysans Reserves	Samuel Pobee	Australasian Institute of Mining and Metallurgy
Porphyry Zone Resource	Bruce Mowat	Australasian Institute of Mining and Metallurgy
Porphyry Zone Reserves	Samuel Pobee	Australasian Institute of Mining and Metallurgy
Mako Resources	Patrick Adams	Australasian Institute of Mining and Metallurgy
Mako Reserves	Samuel Pobee	Australasian Institute of Mining and Metallurgy

Annual Ore Reserve and Mineral Resource Statement

Competent Persons Statement

Section 1 Sampling Techniques and Data

Companies

UK 100

Latest directors dealings

ORE RESERVES COMPARISON TO 31 DECEMBER 2019
Reserves and Resources comply with the Australasian Code for Reporting of Mineral Resources and Reserves (The JORC Code 2004 and JORC Code 2012)
ORE RESERVES	Dec-20					Dec-19					Comment on Changes
	Tonnes	Gold grade	Ounces	Group Share	Group Share	Tonnes	Gold grade	Ounces	Group Share	Group Share
	(000s)	(g/t)	(000s)	%	Ounces	(000s)	(g/t)	(000s)	%	Ounces
	Proved					Proved
Australia
Mt Wright						0	0.0	0	100%	0	Asset sold
Sarsfield/Nolans						47,500	0.8	1,170	100%	1,170	Asset sold
Stockpiles (O/C)						230	0.5	4	100%	4	Asset sold
Buck Reef West						19,700	0.9	540	100%	540	Asset sold
Mali
Syama Stockpiles (Sulphide)	675	2.0	42	80%	34	547	2.2	38	80%	30	Movement in operating stockpiles
Stockpiles (Oxide)	860	1.5	41	80%	33	841	1.3	36	80%	29	Movement in operating stockpiles
Tabakoroni Open Pit	295	1.6	15	90%	14	249	3.9	32	90%	28	Depletion due to mining and new Reserve
Tabakoroni Stockpiles	955	1.5	46	90%	42	1,120	1.6	59	90%	53	Movement in operating stockpiles
Senegal
Mako	3,860	2.0	245	90%	220	5,320	2.3	389	90%	350	Depletion due to mining and new Reserve
Mako Stockpiles	2,580	1.2	98	90%	88	1,910	1.3	80	90%	72	Movement in operating stockpiles
Total Proved	9,220	1.6	487		430	77,300	0.9	2,350		2,280

	Probable					Probable					Comment on Changes
Australia
Sarsfield						42,600	0.7	890	100%	890	Asset sold
Stockpiles (O/C)						9	1.6	0	100%	0	Asset sold
Buck Reef West						5,520	0.7	130	100%	130	Asset sold
Mali
Syama Underground	26,800	2.8	2,440	80%	1,950	32,100	2.8	2,840	80%	2,280	Depletion due to mining and new Reserve
Syama Stockpiles (Sulphide)	1,810	1.3	77	80%	62	1,850	1.4	81	80%	65	Movement in operating stockpiles
Stockpiles (Oxide)	1,400	1.0	43	80%	34	1,400	1.0	43	80%	34	No change
Tabakoroni Underground	2,910	4.6	430	90%	387	0	0.0	0	90%	0	Maiden Reserve
Tabakoroni Open Pit	97	1.6	5	90%	5	68	4.4	10	90%	9	Depletion due to mining and new Reserve
Cashew NE	658	2.5	54	80%	43	807	2.4	61	80%	49	Depletion due to mining and New Reserve
Paysans	715	2.0	46	80%	37	489	2.2	34	80%	27	New Reserve due to higher gold price
Tellem	435	2.1	29	80%	23	278	2.1	19	80%	15	New Reserve due to higher gold price
Porphyry Zone (Splay)	0	0.0	0	90%	0	442	1.7	24	90%	22	Depletion due to mining
Senegal
Mako	6,840	2.0	438	90%	394	3,860	2.2	275	90%	248	Depletion due to mining and new Reserve
Ghana
Bibiani	6,400	3.3	660	90%	594	6,400	3.3	660	90%	594	No Change
Total Probable	48,100	2.7	4,220		3,530	95,900	1.6	5,070		4,360
Total Reserves	57,300	2.6	4,710		3,960	173,000	1.3	7,420		6,630

MINERAL RESOURCES COMPARISON TO 31 DECEMBER 2019
MINERAL RESOURCES	Dec-20					Dec-19
	Tonnes	Gold grade	Ounces	Group Share	Group Share	Tonnes	Gold grade	Ounces	Group Share	Group Share
	(000s)	(g/t)	(000s)	%	Ounces	(000s)	(g/t)	(000s)	%	Ounces
	Measured					Measured					Comment on Changes
Australia
Mt Wright						130	4.8	20	100%	20	Asset sold
Sarsfield/Nolans						51,000	0.8	1,230	100%	1,230	Asset sold
Buck Reef West						25,500	0.9	710	100%	710	Asset sold
Mali
Syama Underground	14,100	3.9	1,760	80%	1,410	17,100	3.6	1,960	80%	1,570	Depletion due to mining, new Resource and reporting method
Syama stockpiles (Sulphide)	676	2.0	42	80%	34	547	2.2	38	80%	30	Movement in operating stockpiles
Stockpiles (Oxide)	860	1.5	41	80%	33	841	1.3	36	80%	29	Movement in operating stockpiles
Tabakoroni Open Pit	287	2.4	22	90%	20	193	4.3	26	90%	24	Depletion due to mining, new Resource and reporting method
Tabakoroni Underground	211	4.4	30	90%	27	121	3.2	13	90%	11	New Resource and reporting method
Tabakoroni Stockpiles	955	1.5	46	90%	42	1,120	1.6	59	90%	53	Movement in operating stockpiles
Senegal
Mako	4,530	1.8	267	90%	241	7,030	2.0	444	90%	399	Depletion due to mining and high gold price
Mako Stockpiles	2,580	1.2	98	90%	88	1,910	1.3	80	90%	72	Movement in operating stockpiles
Total Measured	24,200	3.0	2,310		1,890	105,000	1.4	4,620		4,150

	Indicated					Indicated					Comment on Changes
Australia
Stockpiles (UG)						9	2.8	1	100%	1	Asset sold
Sarsfield/Nolans						52,500	0.6	1,060	100%	1,060	Asset sold
Buck Reef West						29,600	0.8	720	100%	720	Asset sold
Mali
Syama Underground	22,300	3.2	2,290	80%	1,830	31,600	3.2	3,280	80%	2,630	Depletion due to mining, new Resource and reporting method
Syama stockpiles (Sulphide)	1,810	1.3	77	80%	62	1,850	1.4	81	80%	65	Movement in operating stockpiles
Northern Pits	3,880	2.4	295	80%	236	3,880	2.4	295	80%	236	No change
Stockpiles (Oxide)	1,400	1.0	43	80%	34	1,400	1.0	43	80%	34	No change
Tabakoroni Open Pit	726	3.1	72	90%	65	109	4.7	17	90%	15	Depletion due to mining, new Resource and reporting method
Tabakoroni Underground	4,440	4.9	699	90%	629	1,650	5.2	275	90%	247	New Resource and reporting method
Cashew NE	970	2.4	74	80%	59	1,560	2.0	100	80%	80	Depletion due to mining and new Resource
Paysans	4,210	1.7	230	80%	184	4,210	1.7	230	80%	184	No change
Tellem	1,770	1.9	110	80%	88	1,770	1.9	110	80%	88	No change
Porphyry Zone (Splay)	0	0.0	0	90%	0	1,530	1.6	76	90%	69	Depletion due to mining and new Resource
Senegal
Mako	9,590	1.8	559	90%	503	9,140	1.8	540	90%	486	Depletion due to mining and high gold price
Ghana
Bibiani	13,300	3.5	1,490	90%	1,340	13,300	3.5	1,490	90%	1,340	No Change
Total Indicated	64,400	2.9	5,940		5,040	154,000	1.6	7,840		6,820

CRITERIA	JORC CODE EXPLANATION	COMMENTARY
Mineral tenement and land tenure status	· Type, reference name/number, location and ownership including agreements or material issues with third parties such as joint ventures, partnerships, overriding royalties, native title interests, historical sites, wilderness or national park and environmental settings. · The security of the tenure held at the time of reporting along with any known impediments to obtaining a licence to operate in the area.	Drilling was conducted within the Malian Exploitation Concession Permit PE 93/003 which has an area of 200.6 km². ResoluteMiningLimitedhasan80%interestintheSyamaprojectandtheExploitationPermit P E -93/003,onwhichitisbased,throughitsMaliansubsidiary,SociêtêdesMinesdeSyama S A(SOMISY).TheMalianGovernmentholdsafreecarried20% interestin SOMISY. The Permit is held in good standing. Malian mining law provides that all mineral resources are administered by DNGM (Direction Nationale de la Géologie et des Mines) or National Directorate of Geology and Mines under the Ministry of Mines, Energy and Hydrology.
Exploration done by other parties	· Acknowledgment and appraisal of exploration by other parties.	The Syama deposit was originally discovered by a regional geochemical survey undertaken by the Direction National de Géologie et des Mines (DNGM) with assistance from the United Nations Development Program (UNDP) in 1985. There had also been a long history of artisanal activities on the hill where an outcropping chert horizon originally marked the present-day position of the open pit. BHP during 1987-1996 sampled pits, trenches, auger, RC and diamond drill holes across Syama prospects. Randgold Resources Ltd during 1996-2000 sampled pits, trenches, auger, RAB, RC and diamond drill holes across Syama prospects.
Geology	· Deposit type, geological setting and style of mineralisation.	The Syama Project is found on the northern margin of the Achaean-Proterozoic Leo Shield which forms the southern half of the West African Craton. The project area straddles the boundary between the Kadiana-Madinani terrane and the Kadiolo terrane. The Kadiana-Madinani terrane is dominated by greywackes and a narrow belt of interbedded basalt and argillite. The Kadiolo terrane comprises polymictic conglomerate and sandstone that were sourced from the Kadiana-Madinani terrane and deposited in a late- to syntectonic basin. Prospects are centred on the NNE striking, west dipping, Syama-Bananso Fault Zone and Birimian volcano-sedimentary units of the Syama Formation. The major commodity being sought is gold.
Drill hole Information	· A summary of all information material to the understanding of the exploration results including a tabulation of the following information for all Material drill holes: o easting and northing of the drill hole collar o elevation or RL (Reduced Level - elevation above sea level in metres) of the drill hole collar o dip and azimuth of the hole o down hole length and interception depth o Whole length. · If the exclusion of this information is justified on the basis that the information is not Material and this exclusion does not detract from the understanding of the report, the Competent Person should clearly explain why this is the case.	No new exploration results have been reported in this release. The listing of the entire drill hole database used to estimate the resource was not considered relevant for this release.
Data aggregation methods	· In reporting Exploration Results, weighting averaging techniques, maximum and/or minimum grade truncations (e.g. cutting of high grades) and cut-off grades are usually Material and should be stated. · Where aggregate intercepts incorporate short lengths of high-grade results and longer lengths of low-grade results, the procedure used for such aggregation should be stated and some typical examples of such aggregations should be shown in detail. · The assumptions used for any reporting of metal equivalent values should be clearly stated.	No new exploration results have been reported in this release. Metal equivalent values are not used in reporting.
Relationship between mineralisation widths and intercept lengths	· These relationships are particularly important in the reporting of Exploration Results. · If the geometry of the mineralisation with respect to the drill hole angle is known, its nature should be reported. · If it is not known and only the down hole lengths are reported, there should be a clear statement to this effect (e.g. 'down hole length, true width not known').	The mineralisation is steeply dipping at approximately 60⁰ from the horizontal. Most of the drill holes are planned at local grid 090⁰ at a general inclination of ‑60⁰ east to achieve as close to perpendicular to the ore zone as possible. At the angle of the drill holes and the dip of the ore zones, the reported intercepts will be slightly more than true width.
Diagrams	· Appropriate maps and sections (with scales) and tabulations of intercepts should be included for any significant discovery being reported These should include, but not be limited to a plan view of drill hole collar locations and appropriate sectional views.	Relevant maps, diagrams and tabulations are included in the body of text.
Balanced reporting	· Where comprehensive reporting of all Exploration Results is not practicable, representative reporting of both low and high grades and/or widths should be practiced to avoid misleading reporting of Exploration Results.	Mineral Resources are being reported in this announcement. No new exploration results have been reported in this release.
Other substantive exploration data	· Other exploration data, if meaningful and material, should be reported including (but not limited to): geological observations; geophysical survey results; geochemical survey results; bulk samples - size and method of treatment; metallurgical test results; bulk density, groundwater, geotechnical and rock characteristics; potential deleterious or contaminating substances.	No geophysical and geochemical data and any additional exploration information has been reported in this release, as they are not deemed relevant to the release.
Further work	· The nature and scale of planned further work (e.g. tests for lateral extensions or depth extensions or large-scale step-out drilling). · Diagrams clearly highlighting the areas of possible extensions, including the main geological interpretations and future drilling areas, provided this information is not commercially sensitive.	Depth extension drilling is planned to test the down-dip potential of the Syama ore body at depth, and beneath the current limit of drilling.

CRITERIA	JORCCODEEXPLANATION	COMMENTARY
Database integrity	• Measurestakentoensurethatdatahasnotbeen corruptedby,forexample,transcriptionorkeying errors,betweenitsinitialcollectionanditsusefor MineralResourceestimationpurposes. • Datavalidationproceduresused.	Data have been compiled into a relational SQL database; the setup of this database precludes the loading of data which do not meet the required validation protocols. The data is managed using DataShed© drill hole management software using SQL database techniques. Validation checks are conducted using SQL and DataShed© relational database standards. Data has also been checked against original hard copies for 100% of the data, and where possible, loaded from original data sources. Resolute completed the following basic validation checks on the data supplied prior to resource estimation: · Drill holes with overlapping sample intervals. · Sample intervals with no assay data. Duplicate records. · Assay grade ranges. · Collar coordinate ranges. · Valid hole orientation data There are no significant issues identified with the data.
Site visits	• Commenton anysitevisitsundertakenbythe CompetentPersonandtheoutcomeof thosevisits. • Ifnositevisitshavebeenundertakenindicatewhy thisis thecase.	Ms Susan Havlin,aMemberoftheAustralasianInstituteofMiningandMetallurgyisthe CompetentPersonwhohasvisitedthissiteonnumerousoccasions. A l laspectsof drilling,samplingandminingareconsideredbytheCompetentPersonstobe of ahighindustrystandard.
Geological interpretation	• Confidencein(orconversely,theuncertaintyof)the geologicalinterpretationof themineraldeposit. • Natureofthedatausedandof anyassumptions made. • T heeffect,ifany,ofalternativeinterpretationson MineralResourceestimation. • T heuseofgeologyinguidingandcontrollingMineral Resourceestimation. • T hefactorsaffectingcontinuitybothofgradeand geology.	T he digital database used for the interpretation included logged intervals for the key stratigraphic zonesofSyama. Detailedgeologicallogswere availableinhardcopyanddigital andreviewedwherenecessary. Drilldensity(50mby50m)forthemajorityoftheSyamaareaallowsforconfidentinterpretation ofthegeologyandmineraliseddomains.Morerecentgrade control (gc)drilling (at 25m by 25m spacing)confirmsthepositionsofmineralisedzones.Geologicaland structuralcontrolssupportmodelledmineralisedzones,whichareconstrainedwithingeological units. Continuityofmineralisationisaffectedbyproximitytostructuralconduits(allowingflowof mineralisedfluids),stratigraphicposition,lithologyofkeystratigraphicunitsandporosityofhost lithologies.
Dimensions	• T heextentandvariabilityof theMineralResource expressedaslength(alongstrikeorotherwise),plan width,anddepthbelowsurfacetotheupperand lowerlimitsoftheMineralResource.	T heSyamaareaextendsforapproximately1,500metresinstrikeandthewestdippinggold mineralisedzoneisbetween100-200metresinhorizontalwidth,narrowingatitssouthernand northernlimits.TheMineralResourceislimitedindepthbydrilling,whichextendsfromsurface toamaximumdepthof approximately800metresvertically.
Estimation and modelling techniques	• T henatureandappropriatenessoftheestimation technique(s)appliedandkeyassumptions,including treatmentofextremegradevalues,domaining, interpolationparametersandmaximumdistanceof extrapolationfromdatapoints.Ifacomputerassisted estimationmethodwaschosenincludeadescription ofcomputersoftwareandparametersused. • T heavailabilityofcheckestimates,previous estimatesand/ormineproductionrecordsand whethertheMineralResourceestimatetakes appropriateaccountofsuchdata. • T heassumptionsmaderegardingrecoveryof by- products. • E s timationofdeleteriouselementsorothernon-grade variablesof economicsignificance(e.g.sulphurfor acidminedrainagecharacterization). • Inthecaseof blockmodelinterpolation,theblocksize inrelationtotheaveragesamplespacingandthe searchemployed. · In the case of block model interpolation, the block size in relation to the average sample spacing and the search employed. • A nyassumptionsbehindmodellingofselectivemining units. • A nyassumptionsaboutcorrelationbetweenvariables. • Descriptionofhowthegeologicalinterpretationwas usedto controltheresourceestimates. • Discussionofbasisforusingornotusinggrade cuttingorcapping. • T heprocessofvalidation,thecheckingprocessused, thecomparisonof modeldatatodrillholedata,and useofreconciliationdataifavailable.	E s timationwascompletedinDatamineStudioRMusingCategoricalIndicator(CI)approach todefinethemineralised blocks followedbyanOrdinary Kriged(OK)modeltoestimatethe goldgrade. Gradeswereestimatedintoparentblockof5mEby12.5mNby5mRL for Syama underground and 10mE by 25 mN by 10mRl for Nafolo. Sub- cellingdownto5mEby12.5mNby5mRLwasemployed forresolution ofthemineralisation boundary at Nafolo. T hecategoricalmodelusedacut-offof1g/tgold once the mineralised blocks have been identified another categorical model within this mineralisation is carried out at a cut-off of 2 g/t to identify higher grade zones.A5mEby12.5mNby5mRLblocksizewas employedduringthecategoricalprocessusedtodelineatemineralisedregions. Afterthis process,themodelwasreblockedupto10mEby25mNby10mRL for Nafolo whileretainingthesmaller sizeblocksassubcellsat mineralisationboundaries. T heresourcemodel includedestimatesforsulphidesulphurandorganic carbonwhichassist withmetallurgicalcharacterisation.The sulphide sulphur is estimated via a categorical indicator approach with a cut-off grade of 1% to identify the higher grade blocks and then an OK estimation was carried out within these blocks. Organic carbon was just estimated without boundaries into the block model. There are reduced assays at depth of these two elements so there is some smoothing at depth. K r i g i ngneighbourhoodanalysiswasperformedtooptimisetheblocksize,samplenumbers anddiscretisationlevelswiththegoalofminimisingconditionalbiasinthegoldgradeestimates. Alargerblocks size for Nafolowaschosen basedonthisanalysisthanwasemployedintheprevious resourceestimate. Atotalofthree search passeswasused,withthefirstsearch passsettotherangeofthe variogramforeachelement.Aminimumof10andamaximumof30sampleswereused.The searchstayedthesameforthesecond passbutwasincreased byafactorof2forthethird andfinalpass.Theminimumnumberofsampleswasreducedto8forthesecondpassand6 forthethirdpass. Semi-soft boundaries were used between the higher grade and lower grade domains and between the lower grade domain and the waste domain. Two samples either side of the mineralisation boundary were used in the OK estimation. Un-estimatedblocks(less than1%forgold)wereassignedthedomainaveragegrades. Nodeleteriouselementswerefoundintheore. Noselectiveminingunitshavebeenassumed. Noassumptionshavebeenmaderegardingthecorrelationofvariablesalthoughitisnotedthat abroadpositivecorrelationexistsbetweengoldandsulphur. E s timation searcheshavebeenorientated torespecttheorientation oftheSyama Formation whichhoststhemineralisation. T opcutswereappliedtoreducethe variabilityof thedataandtoremovetheoutliers. T heestimatedblockmodelgradeswerevisuallyvalidatedagainsttheinputdrillholedata and comparisons werecarriedoutagainstthedrillhole dataandbynorthingandelevation slices. Globalcomparisonbetweentheinputdataandtheblockgradesforeachvariableisconsidered acceptable(±10%). Comparisonwiththe2019MineralResourcewascarriedout.
Moisture	• W hetherthetonnagesareestimatedon adrybasisor withnaturalmoisture,andthemethodof determinationofthemoisturecontent.	A l ltonnagesareestimatedonadrybasis.
Cut-off parameters	• T hebasisoftheadoptedcut-offgrade(s)orquality parametersapplied.	MineralResourcesfor the main part of Syama was reported within a shape generated using a MSO (Mineable Shape Optimiser) at 1.3 g/t cut-off grade (equivalent to a US$2,000 gold price) this was based on the current Sub-Level Caving (SLC) mining method. The material south of the main zone was reported within an MSO shape generated at 1.5 g/t cut-off grade (equivalent to a US$2,000 gold price) as this is planned to be mined by Open Stoping.
Mining factors or assumptions	· Assumptions made regarding possible mining methods, minimum mining dimensions and internal (or, if applicable, external) mining dilution. It is always necessary as part of the process of determining reasonable prospects for eventual economic extraction to consider potential mining methods, but the assumptions made regarding mining methods and parameters when estimating Mineral Resources may not always be rigorous. Where this is the case, this should be reported with an explanation of the basis of the mining assumptions made.	T hecurrentminingmethodforundergroundexploitationisSLC. T heresourcemodelextendsfrom1,250mRLto600mRL. Openpitminingmethodswere usedbyResoluteto1,120mRL. Materialtestingconductedonsamplesofunderground ore confirmedthatpropertiessuchas metallurgicalfactors,structuraltrendsand geological continuityremainthesameasobservedinthefreshrockportionof theopenpit. This Mineral Resource does not account for mining recovery.
Metallurgical factors or assumptions	• T hebasisforassumptionsorpredictionsregarding metallurgicalamenability.Itis alwaysnecessaryas partof theprocessofdeterminingreasonable prospectsforeventualeconomicextractionto considerpotentialmetallurgicalmethods,butthe assumptionsregardingmetallurgicaltreatment processesandparametersmadewhenreporting MineralResourcesmaynotalwaysberigorous. Wherethisis thecase,this shouldbe reportedwith anexplanationofthebasisofthemetallurgical assumptionsmade.	Resolutehasconductedmetallurgicaltestworkonvariabilitysamplestakenfromwithinthe proposedunderground orezone. Atestworkprogramwassupervisedbyconsultants MineLogixPtyLtdbasedonanalyticaltestworkcompletedatALSMetallurgyLaboratory.The programincludedcomminution,flotation,roastingandleachingassessments. T heplannedprocessing flowsheetinvolvescrushing,milling,flotationandroasting, followed byCILrecovery ofthecalcineproduct.TheSyamasulphideprocessingfacilityhasbeenin operationinitscurrentformsince2007. T hevarioustestworkprogramsdidnotidentifyanycontrasting metallurgicalbehaviourfrom sampleswithintheundergroundorezoneandtheperformanceoftheundergroundoretypically matchesthatobservedforopenpitore.
Environmental factors or assumptions	• A ss umptionsmaderegardingpossiblewasteand processresiduedisposaloptions.Itis always necessaryaspartof theprocessofdetermining reasonableprospectsforeventualeconomic extractiontoconsiderthepotentialenvironmental impactsoftheminingandprocessingoperation. Whileatthisstagethedeterminationof potential environmentalimpacts,particularlyforagreenfields project,maynotalwaysbe welladvanced,thestatus ofearlyconsiderationofthesepotentialenvironmental impactsshouldbereported.Wheretheseaspects havenotbeenconsideredthisshouldbereported withan explanationoftheenvironmentalassumptions made.	ItisarequirementofDecreeNo.03-594/P-RMof31December2003ofMalianlawthatan EnvironmentalandSocialImpactStudy(Étuded'ImpactEnvironmentaletSocial-EIES)must beundertakentoupdatethepotentialenvironmental andsocialimpactsofthemine's redevelopment. TheEIESfortheSyamaGoldMinewasapprovedinNovember2007andan Environment Permit(07-0054/MEA-SG)wasissuedbytheMinistryofEnvironmentand Sanitationonthe22November2007.TheMinistryofEnvironmentconducttimelyreviewsofthe SyamaGoldMineto ensurethatcompanymaintainscompliancewiththeEIESguidelines. A tSyama therearethreekeypractices fordisposalofwastesandresidues namely, stacking ofwaste rock fromopen pitmining;storageoftailings frommineralprocesses;and "tall-stack dispersion"ofsulphurdioxidefromtheroastingofgoldbearingconcentrate. Al lwastedisposal practicesareinaccordancewiththeguidelinesintheEIES. T heEnvironmental&SocialImpactStudy-"SociétédesMinesdeSyama,SyamaGoldMine, Mali,dated2007indicatedtherewasminimalpotentialforacidminedrainagefromwasterock duetotheelevatedcarbonatecontentwhichbuffersapotentialacidgeneration. Resolute maintainsaplanforprogressiverehabilitationofwasterocklandformsaspartofongoingmine developmentandwasterockdumping. The landform of tailings impoundments does not have a net acid generating potential. The largest volume is flotation tailings where the sulphide minerals have already been removed from the host rock. Its mineralogy includes carbonates which further buffer any acid-formation potential from sulphides that may also be present. C y a nidelevelsintheleached-calcinetailingsaretypicallylessthan50ppmintheweakacid dissociableform.Groundwaterawayfromthetailing'slandformisinterceptedbytrenchesand sumppumps. Sulphur dioxide is generated from the roasting of gold concentrate so that gold can be extracted and refined. Tall-Stack "dispersion" of the sulphur dioxide emission is monitored continuously. Prevailing weather and dissipation of the sulphur dioxide is modelled daily to predict the need to pause the roasting process to meet the air quality criteria set out in the Environmental & Social Impact Study.
Bulk density	• Whether assumed or determined. If assumed, the basis for the assumptions. If determined, the method used, whether wet or dry, the frequency of the measurements, the nature, size and representativeness of the samples. · The bulk density for bulk material must have been measured by methods that adequately account for void spaces (vugs, porosity, etc), moisture and differences between rock and alteration zones within the deposit. · Discuss assumptions for bulk density estimates used in the evaluation process of the different materials.	Si t epersonnelhavecompleted numerous bulk density comparative estimates on HQ drill core to assessvariabilityusingtheArchimedesmethodofdryweightversusweightinwater. Thismethod wasusedfor96%of thebulkdensitymeasurements. O thertestswerecompletedbySGSusingthepycnometermethod. Based on thedatacollectedthefollowingSGestimateswereappliedto themodel: · Syama Formation 2.82 · Si k oroFormation 2.75 · BanmbereConglomerate 2.75
Classification	• T hebasisfortheclassificationoftheMineral Resourcesinto varyingconfidencecategories. • W hetherappropriateaccounthas beentakenof all relevantfactors(i.e.relativeconfidencein tonnage/gradeestimations,reliabilityof inputdata, confidenceincontinuityof geologyandmetalvalues, quality,quantityanddistributionof thedata). • W hethertheresultappropriatelyreflectsthe Competent Person'sviewofthedeposit.	The Measured Mineral Resource classification is based on good confidence in the geology and gold grade continuity with less than 25 m x 25 m spaced drillhole density in the central part of the deposit directly below the current pit. TheIndicatedMineralResource classification isbasedon goodconfidencein the geologyand gold gradecontinuity with lessthan75mx75mspaced drillholedensity inthecentral partof thedeposit. TheInferredMineralResource classification isappliedtoextensionsofmineralisedzones on themarginsofthedepositwhere drillspacingismorethan100mx 100mandtheextentsofmineralisation at depth. TheNafolo orebody to the south of Syama whichistestedbywiderdrillspacing hasalsobeenclassifiedasInferred. Thevalidationoftheblockmodelhasconfirmedsatisfactorycorrelationoftheinputdatatothe estimatedgradesandreproductionof datatrends. TheMineralResourceestimateappropriatelyreflectsthe viewof theCompetentPersons.
Audits or reviews	• T heresultsofanyauditsor reviewsof Mineral Resourceestimates.	TheMineralResource hasbeenauditedinternally and in conjunction with resource consultants at Optiro Pty Ltd aspartoftheroutinevalidationprocess.Therehasbeennoexternalreviewof theMineralResourceestimate.
Discussion of relative accuracy/ confidence	• Where appropriate a statement of the relative accuracyandconfidencelevelintheMineral Resourceestimateusinganapproachorprocedure deemedappropriatebytheCompetentPerson.For example,theapplicationofstatisticalorgeostatistical procedurestoquantifytherelativeaccuracyof the resourcewithinstatedconfidencelimits,or,if suchan approachis notdeemedappropriate,aqualitative discussionofthefactorsthatcouldaffecttherelative accuracyandconfidenceof theestimate. • T hestatementshouldspecifywhetheritrelatesto globalorlocalestimates,and,iflocal,statethe relevanttonnages,whichshouldberelevantto technicalandeconomicevaluation.Documentation shouldincludeassumptionsmadeandtheprocedures used. • T hesestatementsofrelativeaccuracyandconfidence oftheestimateshouldbecomparedwithproduction data,whereavailable.	TherelativeaccuracyoftheMineralResourceestimateisreflectedinthereportingofIndicated andInferred resource categories as defined by 2012JORCCode guidelines. Thegeostatistical techniques applied to the estimate of underground resources atSyamaare deemed appropriate totheestimation ofSubLevelCaving(SLC)mining method andhence applicableforreserveestimation. The estimation was compared with the production history at Syama and it is within 15% which is within the limits for the relevant classifications.